CN102263574B - Narrowband interference detection and suppression method, device and receiver for communication system - Google Patents
Narrowband interference detection and suppression method, device and receiver for communication system Download PDFInfo
- Publication number
- CN102263574B CN102263574B CN201110157754.4A CN201110157754A CN102263574B CN 102263574 B CN102263574 B CN 102263574B CN 201110157754 A CN201110157754 A CN 201110157754A CN 102263574 B CN102263574 B CN 102263574B
- Authority
- CN
- China
- Prior art keywords
- interference
- received signal
- matrix
- module
- signal vector
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000001629 suppression Effects 0.000 title claims abstract description 76
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000001514 detection method Methods 0.000 title claims abstract description 30
- 238000004891 communication Methods 0.000 title claims abstract description 21
- 239000011159 matrix material Substances 0.000 claims abstract description 75
- 238000001228 spectrum Methods 0.000 claims abstract description 41
- 238000012545 processing Methods 0.000 claims abstract description 35
- 238000010606 normalization Methods 0.000 claims abstract description 15
- 230000009466 transformation Effects 0.000 claims abstract description 14
- 238000000354 decomposition reaction Methods 0.000 claims description 10
- 238000011084 recovery Methods 0.000 claims description 9
- 238000005070 sampling Methods 0.000 claims description 9
- 238000009432 framing Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 6
- 238000013507 mapping Methods 0.000 claims description 3
- 230000007480 spreading Effects 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims 2
- 230000001105 regulatory effect Effects 0.000 abstract 2
- 238000010586 diagram Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 8
- 230000003044 adaptive effect Effects 0.000 description 5
- 230000003595 spectral effect Effects 0.000 description 4
- 230000002401 inhibitory effect Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000005764 inhibitory process Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 108010003272 Hyaluronate lyase Proteins 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000005562 fading Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
Landscapes
- Noise Elimination (AREA)
Abstract
The invention provides an interference detection and suppression method for a broadband spread spectrum communication system. The method comprises the following steps of: 1, performing grouping caching processing on a received signal to obtain a received signal vector; 2, detecting whether the received signal vector has narrowband interference or not, turning to a step 3 if the received signal vector has the narrowband interference, and turning to a step 5 if the received signal vector does not have the narrowband interference; 3, computing an autocorrelative matrix P; 4, performing linear transformation on the received signal vector by adopting the autocorrelative matrix P to obtain a narrowband interference-suppressed received signal vector; 5, performing power normalization processing on the narrowband interference-suppressed received signal vector to obtain a power-regulated received signal vector; and 6, recovering the power-regulated received signal vector into a normal received chip signal. The invention also provides a narrowband interference detection and suppression device and a receiver. By the narrowband interference detection and suppression method, the narrowband interference detection and suppression device and the receiver provided by the invention, kinds of narrowband interference can be detected and suppressed effectively; and the method, the device and the receiver are low in complexity and high in robustness.
Description
Technical Field
The invention belongs to the field of broadband spread spectrum communication systems, and particularly relates to a method, a device and a receiver for detecting and suppressing narrow-band interference in a broadband spread spectrum communication system.
Background
The broadband spread spectrum communication system is one of the most widely applied digital communication systems at the present stage, and has the advantages of strong multipath resistance, low transmission power, low interception rate and the like. Narrow-band interference (such as single-tone interference, narrow-band digital interference, etc.) is a major interference existing in the present broadband spread spectrum communication system, and as shown in fig. 1, a schematic diagram of overlapping frequency spectrums of the broadband spread spectrum communication system and the narrow-band system is shown, as can be seen from fig. 1, there is overlapping frequency spectrums of the broadband signal and the narrow-band signal, and therefore, the systems generate frequency spectrum interference with each other.
Existing narrowband interference suppression techniques can be classified into the following three categories:
(1) time domain prediction techniques: it is unpredictable to consider the wideband spread spectrum signal in the received signal as a random signal uncorrelated in time. The narrow-band interference is predictable due to strong correlation in time, so that the adaptive filter is designed, the current input of the system is predicted by the input of the system at the past moment, the current actual input value of the system is taken as the expected output of the adaptive filter, and the obtained prediction error is the broadband spread spectrum signal. The time domain prediction technology is designed based on the assumption that the narrowband interference is predictable, and when the narrowband interference is a digital signal, the assumption is often not satisfied, so that the performance of the time domain prediction technology on the digital narrowband interference suppression is poor. Moreover, the wideband spread spectrum signal is not random, so in order to achieve better suppression performance, the prediction technology must introduce a nonlinear correction function, which increases the system overhead.
(2) Transform domain suppression techniques: from the frequency domain, the power distribution of the wideband spread spectrum signal is distributed on a wider section of frequency spectrum, while the power distribution of the narrowband signal is relatively concentrated, so that the received signal can be converted into the frequency domain through DFT (discrete fourier transform), the spectral line with too large amplitude is deleted or cut, and then the received signal is inversely converted into the time domain through IDFT (inverse discrete fourier transform), thereby achieving the purpose of interference suppression. Problems with transform domain techniques are spectral leakage and loss of useful signal. The windowing method can suppress the spectrum leakage to a certain extent, but the windowing causes the distortion of the useful signal. Since the transform domain method suppresses interference by deleting and clipping an excessively large spectral line, a useful signal is inevitably lost in the suppression process, and the loss is negligible when the narrow-band interference is a single-tone interference or a chirp signal, but when the narrow-band interference is an AR random process or a digital signal with a relatively large bandwidth, the loss of the useful signal due to spectral line processing has a great influence on the system performance.
(3) Code-assisted interference suppression techniques: narrowband interference can be viewed as a superposition of multiple wideband spread spectrum user signals, which can be suppressed using multi-user detection methods. Code-assisted techniques utilize multi-user detection techniques such as MMSE for narrowband interference suppression. The code-assisted technique is divided into a fixed code-assisted technique and an adaptive code-assisted technique, wherein the fixed code-assisted technique is suitable for the case that the statistical characteristics of the interference signal are known, and the adaptive code-assisted technique is suitable for the case that the interference signal is unknown. The fixed code assistance technique requires prior information of an interference signal, and is inconvenient to implement in an actual system. The performance of the adaptive code assisted technique is not ideal and the number of operations is too large when processing the autocorrelation matrix whose dimension is the spreading factor. In addition, the code-assisted technique is required to be performed under the condition that the received signals are synchronized, and the system cannot be synchronized smoothly under the condition that strong interference exists.
Research shows that under the condition that interference exists in a broadband spread spectrum communication system, the performance of the system can be obviously improved by adopting the narrowband interference suppression module, but when no narrowband interference exists, the interference suppression module has the following two problems: (1) the complexity of the system is increased; (2) and the improvement of the system performance is not facilitated. The above-mentioned problems limit the practical application of the narrowband interference suppression technology, so it is necessary to research a scheme for detecting and suppressing narrowband interference to solve the practical application problem of the interference suppression technology.
Disclosure of Invention
The invention aims to provide a method, a device and a receiver for detecting and inhibiting narrowband interference in a broadband spread spectrum communication system, which can effectively detect and inhibit various narrowband interferences and have low complexity and strong robustness.
To solve the above technical problem, the present invention provides an interference detection suppression method in a wideband spread spectrum communication system, comprising,
step 1, performing packet cache processing on a received signal to obtain a received signal vector;
step 2, detecting whether the received signal vector has narrow-band interference, and if so, turning to step 3; if not, go to step 5;
step 3, calculating an autocorrelation P matrix;
step 4, performing linear transformation on the received signal vector by adopting the autocorrelation P matrix to obtain the received signal vector after the narrow-band interference suppression;
step 5, performing power normalization processing on the received signal vector after the narrow-band interference suppression to obtain a received signal vector after power adjustment;
and 6, restoring the received vector signal after power adjustment into a normal received chip signal.
Further, the step 2 specifically includes:
step 21, linear transformation is carried out to obtain a coefficient matrix;
step 22, performing SVD on the obtained coefficient matrix to obtain singular values;
and step 23, comparing the quotient of the maximum value and the minimum value in the singular value with a threshold value to judge whether the narrow-band interference exists.
Further, the step 23 specifically includes:
taking the maximum value and the minimum value in the singular value to calculate a quotient, comparing the quotient with a threshold value, and judging that no interference exists if the quotient does not exceed the threshold value; and if the quotient exceeds the threshold value, judging that interference exists.
Further, in step 3, the autocorrelation P matrix is calculated in the following manner:
taking P as A-1Or P ═ Aj+βI)-1Wherein A represents an autocorrelation matrix of an M-dimensional reception vector; a. thejAn autocorrelation matrix representing an M-dimensional interference vector, an I representing an M-dimensional identity matrix, β being more than or equal to 0 and typically taking the value of 0 or sigma2，σ2Representing white noise power; (.)-1Representing the inverse of the matrix.
In order to solve the above technical problem, the present invention provides an interference detection suppression device in a wideband spread spectrum communication system, including: a framing module, a calculation matrix P module, an interference suppression control module, an interference suppression module, a power normalization module and a sampling recovery module,
the framing module is used for caching the passed frequency spectrum overlapping signals to form a received signal vector and sending the received signal vector to the calculation matrix P module;
the calculation matrix P module judges whether interference exists or not through interference detection, outputs a control signal to the interference suppression control module according to a detection result, and calculates to obtain an autocorrelation matrix P of a received signal vector;
the interference suppression control module determines whether to start the interference suppression module according to the control signal output by the calculation matrix P module;
the interference suppression module is used for carrying out interference processing on the obtained received signal vector autocorrelation matrix P to obtain a signal after interference suppression;
the power normalization module is used for carrying out power normalization processing on the signals subjected to interference suppression and sending the signals to the sampling recovery module;
and the sampling recovery module is used for recovering the received signal vector subjected to the interference suppression processing into a normal received signal.
Further, the calculate P matrix module includes: a linear transformation unit, a singular value decomposition unit, a judgment unit and a matrix inversion unit,
the linear transformation unit is used for carrying out linear processing on the received signal vector;
the singular value decomposition unit decomposes the singular value in the inversion process;
the judging unit judges whether interference exists according to the decomposed singular value and outputs a control signal;
and the matrix inversion unit is used for carrying out inversion processing on the matrix output by the singular value decomposition unit.
To solve the above technical problem, the present invention provides a receiver, comprising an interference detection suppressing device and a demodulating device,
the interference detection suppression device detects the baseband receiving signal to judge whether interference exists or not, and linearly changes the interference to obtain the baseband receiving signal after interference suppression;
and the demodulation device is used for carrying out de-spreading and inverse mapping processing on the baseband receiving signals after the interference suppression to obtain bit-level data.
Further, the receiver further includes a matched filter device, configured to perform matched filter processing on the baseband received signal to obtain a received signal after filter processing, and send the received signal to the interference suppression device.
Further, the receiver further includes a scrambling code generator and a spreading code generator,
the interference code generator is used for generating a pseudo code required by descrambling, and descrambling the baseband receiving signal after interference suppression to obtain chip-level data;
the spread spectrum code generator is used for generating chips required by de-spreading, and the chip-level data is de-spread to obtain symbol-level data which is sent to the demodulation device.
Further, the receiver further includes a sink device for comparing the bit data of the reception demodulation device with the transmitted bit-level data to calculate the bit error rate.
Compared with the prior art, the method, the device and the receiver for detecting and inhibiting the narrow-band interference in the broadband spread spectrum communication system solve the problem of poor interference inhibition effect caused by limited precision of a blind detection technology adopted by a code auxiliary technology under the condition of unknown statistical characteristics of received signals, can effectively detect and inhibit various narrow-band interferences, and have low complexity and strong robustness; the complexity of generating a detection vector based on each expected user by the code auxiliary technology under the condition of a frequency selective fading channel is reduced; and the invention can be applied to TD-SCDMA, WCDMA system in the third generation mobile communication by adopting the spread spectrum scheme of the long code.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of frequency spectrum overlapping of a conventional wideband spread spectrum communication system and a narrowband system;
fig. 2 is a block diagram of a baseband receiver of a wideband spread spectrum communication system according to an embodiment of the present invention;
fig. 3 is a block diagram of an interference detection suppressing apparatus according to an embodiment of the present invention;
FIG. 4 is a block diagram of a compute matrix P module according to an embodiment of the invention;
FIG. 5 is a flowchart of an interference detection suppression method according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a GSM & WCDMA overlay system according to an embodiment of the present invention;
fig. 7 is a graph comparing the performance of GSM & WCDMA overlay systems according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Fig. 2 is a block diagram of a baseband receiver of a wideband spread spectrum communication system according to an embodiment of the present invention. The receiver includes: a scrambling code generator 1, a spreading code generator 2, a matched filter device 3, an interference detection suppression device 4, a demodulation device 5, and a sink device 6. Wherein:
the matched filter device 3 carries out matched filter processing on the baseband receiving signal, eliminates out-of-band interference and noise and obtains a receiving signal r (n) after filter processing
r (n) ═ s (n) + j (n) + n (n) (formula 1)
Wherein, r (n) is a received signal; s (n) is the desired wideband spread spectrum user signal; j (n) is narrowband interference, such as single tone interference, frequency modulation interference, digital narrowband interference, etc.; n (n) is white Gaussian noise.
The interference detection and suppression device 4 detects and judges whether interference exists in the baseband receiving signal processed by the matched filter, and performs linear change on the interference to obtain the baseband receiving signal after interference suppression;
the interference code generator 1 is used for generating a pseudo code required by descrambling, and descrambling the baseband received signal after interference suppression to obtain chip-level data;
the spread spectrum code generator 2 is used for generating code pieces required by despreading, and symbol-level data is obtained by despreading chip-level data and is sent to the demodulation device 5;
the demodulation device 5 performs despreading and inverse mapping processing on the baseband chip-level data to obtain bit-level data;
the sink device 6 compares the bit data of the reception/demodulation device 5 with the transmitted bit-level data, and calculates the error rate.
Fig. 3 is a detailed structural diagram of an interference detection suppressing apparatus 4 according to an embodiment of the present invention, which is used in a wideband spread spectrum communication system, and includes: a framing module 41, a calculation matrix P module 42, an interference suppression control module 43, an interference suppression module 44, a power normalization module 45, and a sampling recovery module 46;
the framing module 41 performs buffering processing on the passed spectrum overlapping signals to form a received signal vector, and sends the received signal vector to the calculation matrix P module 42. The method comprises the following specific steps:
the received signals R (n) are combined into a receiving matrix R with M dimension 2560/M columns according to each group of M chips.
The calculation matrix P module 42 determines whether there is interference through interference detection, outputs a control signal to the interference suppression control module 43 according to the detection result, and calculates an autocorrelation matrix P of the received signal vector. The method specifically comprises the following steps: if there is interference, the autocorrelation matrix P of the received signal vector is obtained by matrix inversion, and a control signal for turning on the interference suppression control module 43 is output, and if there is no interference, a control signal for turning off the interference suppression control module is output.
As shown in fig. 4, an embodiment of the invention provides a computation matrix P module 42, where the computation matrix P module 42 includes: linear transformation section 421, Singular Value Decomposition (SVD) section 422, determination section 423, and matrix inversion section 424.
The linear transformation unit 421 performs linear processing on the received signal vector;
the singular value decomposition unit 422 decomposes the singular value through an SVD decomposition method in the inversion process;
the judging unit 423 judges whether interference exists according to the decomposed singular value and outputs a control signal;
the matrix inversion unit 424 performs inversion processing on the matrix output by the singular value decomposition unit 422.
The interference suppression control module 43 determines whether to turn on the interference suppression module 44 according to the control signal output by the calculation matrix P module 42, turns on the interference suppression module 44 when there is interference, and does not turn on the interference suppression module 44 when there is no interference;
the interference suppression module 44 obtains the autocorrelation matrix P of the received signal vector by inversion, and sends the autocorrelation matrix P to the multiplier to multiply the autocorrelation matrix P with the received matrix R, so as to obtain the signal R after interference suppression％。
R％PR (formula 2)
And the power normalization module 45 is used for performing power normalization processing on the signal subjected to the interference suppression and sending the signal to the sampling recovery module. The method comprises the following specific steps: the power normalization module is used for carrying out power normalization processing on the signals after the interference suppression,
r％＝r％/(1-lambda) (formula 3)
The sampling recovery module 46 recovers the received signal vector after the interference suppression processing into a normal received signal. The method comprises the following specific steps: the received signal vector r after interference suppression processing％[k]Restore to normal received chip signal
Wherein, representing rounding down on a scalar, r％ iRepresents a vector r％The ith element of (1).
Fig. 5 is a flowchart of a method for suppressing narrowband interference detection in a wideband spread spectrum communication system according to an embodiment of the present invention, including the following steps:
step 1, performing packet cache processing on a received signal to obtain a received signal vector;
step 2, detecting whether the received signal vector has narrowband interference, and if so, turning to step 3; if no interference exists, turning to step 5; the method specifically comprises the following steps:
and step 21, performing linear transformation to obtain a coefficient matrix. The method comprises the following steps:
performing linear transformation on the receiving matrix R to obtain a coefficient matrix A, namely:
AM,M＝RM,2560/MQ2560/M,M(formula 5)
Wherein Q is2560/M,M＝βRH M,2560/M，RH M,2560/MFor receiving matrix RM,2560/MThe transpose of (c), β is the channel gain,
and step 22, performing SVD on the obtained coefficient matrix A to obtain singular values. The method comprises the following steps:
performing SVD on the coefficient matrix A to obtain M-dimensional square matrixes U and V and M-dimensional singular value vector Λ (a)1，…，aM)。
And step 23, comparing the quotient of the maximum value and the minimum value in the singular value with a threshold value, and judging whether the narrow-band interference exists. The method comprises the following steps:
taking the maximum value and the minimum value of M elements of the singular value vector to calculate a quotient, comparing the quotient with a threshold value phi, if the quotient does not exceed the threshold value phi, judging that no interference exists, and turning to the step 5; and if the quotient exceeds the threshold value, judging that interference exists, carrying out interference suppression, and turning to the step 3.
Step 3, calculating an autocorrelation matrix P, and taking P as A-1Or P ═ Aj+βI)-1Wherein a represents an autocorrelation matrix of an M-dimensional received signal vector; a. thejAn autocorrelation matrix representing an M-dimensional interference vector, an I representing an M-dimensional identity matrix, β being more than or equal to 0 and typically taking the value of 0 or sigma2，σ2Representing white noise power; (.)-1Representing the inverse of the matrix. In this example, P ═ a-1For example, how to solve the autocorrelation matrix P is illustrated as follows:
the square matrices U and V have been solved by SVD, and the vector Λ is given as (a) for singular values1，…，aM) Calculating the reciprocal to obtainHandleThe M elements inside form a diagonal matrix by using a diagonal matrix function, namely obtainingAccording to formula A-1＝VΣ-1UHCalculate A-1The autocorrelation matrix P is obtained.
Step 4, performing linear transformation on the received signal vector by adopting the autocorrelation P matrix to obtain the received signal vector after the narrow-band interference suppression;
step 5, performing power normalization processing on the received signal vector after the narrow-band interference suppression to obtain a received signal vector after power adjustment;
and 6, restoring the received vector signal after power adjustment into a normal received chip signal.
FIG. 6 is an embodiment of a GSM & WCDMA overlay system according to the present invention; as can be seen from fig. 5, the frequency spectrums of the GSM signal and the UMTS signal overlap, so that frequency spectrum interference occurs between them, which will cause the uplink and downlink received signals to interfere with each other, the coverage and capacity are severely shrunk, and even more seriously, the system is not usable. The invention can suppress interference without losing useful signals and solve the problem of frequency spectrum overlapping.
Fig. 7 is a comparison graph of the performance of the present invention in GSM & WCDMA overlay systems, and fig. 6 shows that the interference suppression capability of the present invention is significant at high signal-to-interference ratio and superior to the conventional frequency domain notching technique. Meanwhile, the invention also has the characteristics of low complexity and no interference code constraint, has more practicability in a real WCDMA system, and can play a good role in inhibiting the interference of a plurality of GSM by simply adding one interference inhibition module on the premise of not influencing the structure of the existing receiver.
The technique of the present invention is not limited to only processing the overlapping configuration of WCDMA and GSM frequency spectrums, but also can process the GSM & CDMA configuration.
While the foregoing description shows and describes a preferred embodiment of the invention, it is to be understood, as noted above, that the invention is not limited to the form disclosed herein, but is not intended to be exhaustive or to exclude other embodiments and may be used in various other combinations, modifications, and environments and may be modified within the scope of the inventive concept described herein by the above teachings or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A method for interference detection suppression in a wideband spread spectrum communication system, comprising,
step 1, performing packet cache processing on a received signal to obtain a received signal vector;
step 2, detecting whether the received signal vector has narrow-band interference, and if so, turning to step 3; if not, go to step 5;
step 3, calculating an autocorrelation P matrix;
step 4, performing linear transformation on the received signal vector by adopting the autocorrelation P matrix to obtain the received signal vector after the narrow-band interference suppression;
step 5, performing power normalization processing on the received signal vector after the narrow-band interference suppression to obtain a received signal vector after power adjustment;
and 6, restoring the received vector signal after power adjustment into a normal received chip signal.
2. The method according to claim 1, wherein the step 2 specifically comprises:
step 21, linear transformation is carried out to obtain a coefficient matrix;
step 22, performing SVD on the obtained coefficient matrix to obtain singular values;
and step 23, comparing the quotient of the maximum value and the minimum value in the singular value with a threshold value to judge whether the narrow-band interference exists.
3. The method according to claim 2, wherein the step 23 specifically comprises:
taking the maximum value and the minimum value in the singular value to calculate a quotient, comparing the quotient with a threshold value, and judging that no interference exists if the quotient does not exceed the threshold value; and if the quotient exceeds the threshold value, judging that interference exists.
4. The method of claim 1, wherein in step 3, the autocorrelation P matrix is calculated as follows:
taking P as A-1Or P ═ Aj+βI)-1Wherein A represents an autocorrelation matrix of an M-dimensional reception vector; a. thejAn autocorrelation matrix representing an M-dimensional interference vector, an I representing an M-dimensional identity matrix, β being more than or equal to 0 and typically taking the value of 0 or sigma2，σ2Representing white noise power; (.)-1Representing the inverse of the matrix.
5. An interference detection suppression apparatus in a wideband spread spectrum communication system, comprising: a framing module, a calculation matrix P module, an interference suppression control module, an interference suppression module, a power normalization module and a sampling recovery module,
the framing module is used for caching the passed frequency spectrum overlapping signals to form a received signal vector and sending the received signal vector to the calculation matrix P module;
the calculation matrix P module judges whether interference exists or not through interference detection, outputs a control signal to the interference suppression control module according to a detection result, and calculates to obtain an autocorrelation matrix P of a received signal vector;
the interference suppression control module determines whether to start the interference suppression module according to the control signal output by the calculation matrix P module;
the interference suppression module is used for carrying out interference processing on the obtained received signal vector autocorrelation matrix P to obtain a signal after interference suppression;
the power normalization module is used for carrying out power normalization processing on the signals subjected to interference suppression and sending the signals to the sampling recovery module;
and the sampling recovery module is used for recovering the received signal vector subjected to the interference suppression processing into a normal received signal.
6. The apparatus of claim 5, wherein the calculate P matrix module comprises: a linear transformation unit, a singular value decomposition unit, a judgment unit and a matrix inversion unit,
the linear transformation unit is used for carrying out linear processing on the received signal vector;
the singular value decomposition unit decomposes the singular value in the inversion process;
the judging unit judges whether interference exists according to the decomposed singular value and outputs a control signal;
and the matrix inversion unit is used for carrying out inversion processing on the matrix output by the singular value decomposition unit.
7. A receiver, characterized by comprising interference detection suppression means, a scrambling code generator, a spreading code generator and demodulation means,
the interference detection suppression device detects the baseband receiving signal to judge whether interference exists or not, and linearly changes the interference to obtain the baseband receiving signal after interference suppression;
the interference code generator is used for generating a pseudo code required by descrambling, and the baseband receiving signal after interference suppression is descrambled to obtain chip-level data;
the spread spectrum code generator is used for generating chips required by despreading, and the chip-level data is despread to obtain symbol-level data and sent to the demodulation device;
and the demodulation device is used for carrying out de-spreading and inverse mapping processing on the symbol-level data to obtain bit-level data.
8. The receiver of claim 7, further comprising matched filtering means for performing matched filtering on the baseband received signal to obtain a filtered received signal, and sending the filtered received signal to the interference detection suppressing means.
9. The receiver of claim 7, further comprising a sink device for comparing the bit data received from the demodulation device with the transmitted bit-level data to calculate a bit error rate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110157754.4A CN102263574B (en) | 2011-06-13 | 2011-06-13 | Narrowband interference detection and suppression method, device and receiver for communication system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110157754.4A CN102263574B (en) | 2011-06-13 | 2011-06-13 | Narrowband interference detection and suppression method, device and receiver for communication system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102263574A CN102263574A (en) | 2011-11-30 |
| CN102263574B true CN102263574B (en) | 2017-03-22 |
Family
ID=45010061
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110157754.4A Active CN102263574B (en) | 2011-06-13 | 2011-06-13 | Narrowband interference detection and suppression method, device and receiver for communication system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102263574B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102710290B (en) * | 2012-06-13 | 2015-01-28 | 清华大学深圳研究生院 | Method for eliminating narrow-band interference in under-sampling rate pulse UWB (Ultra Wide Band) communication system |
| CN107345834B (en) * | 2017-07-11 | 2020-06-23 | 中国人民解放军空军工程大学 | Linear narrow-band filtering method based on resonance enhanced singular value decomposition |
| CN107727228B (en) * | 2017-07-11 | 2019-12-31 | 中国人民解放军空军工程大学 | Sound field modal analysis method based on resonance enhanced singular value decomposition |
| CN108880604B (en) * | 2018-06-28 | 2021-05-14 | 河南机电职业学院 | Multi-component frequency modulation interference suppression method and device in spread spectrum communication system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1200851A (en) * | 1995-10-24 | 1998-12-02 | 摩托罗拉公司 | Method and apparatus for interference suppression in spread spectrum signal |
| CN1340931A (en) * | 2000-08-24 | 2002-03-20 | 华为技术有限公司 | Array receiving method and device for CDMA wireless communication system |
| CN1357975A (en) * | 2000-12-14 | 2002-07-10 | 华为技术有限公司 | Adaptive array up receiving method and receiving for radio communication system |
| CN1445953A (en) * | 2002-03-19 | 2003-10-01 | 财团法人工业技术研究院 | Method and system for elimination interference in multiple subzones CDMA system |
| WO2005094025A1 (en) * | 2004-03-25 | 2005-10-06 | Benq Mobile Gmbh & Co. Ohg | Method and communication device for interference cancellation in a cellular tdma communication system |
| CN1957540A (en) * | 2004-03-29 | 2007-05-02 | 艾利森电话股份有限公司 | Impairment correlation estimation in a spread spectrum system |
| EP1589668B1 (en) * | 2004-04-23 | 2009-12-02 | NTT DoCoMo, Inc. | Signal reception device, signal transmission device, radio communication system, and signal reception method |
| CN101663829A (en) * | 2006-09-29 | 2010-03-03 | 联发科技股份有限公司 | Architecture for joint detection hardware accelerator |
-
2011
- 2011-06-13 CN CN201110157754.4A patent/CN102263574B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1200851A (en) * | 1995-10-24 | 1998-12-02 | 摩托罗拉公司 | Method and apparatus for interference suppression in spread spectrum signal |
| CN1340931A (en) * | 2000-08-24 | 2002-03-20 | 华为技术有限公司 | Array receiving method and device for CDMA wireless communication system |
| CN1357975A (en) * | 2000-12-14 | 2002-07-10 | 华为技术有限公司 | Adaptive array up receiving method and receiving for radio communication system |
| CN1445953A (en) * | 2002-03-19 | 2003-10-01 | 财团法人工业技术研究院 | Method and system for elimination interference in multiple subzones CDMA system |
| WO2005094025A1 (en) * | 2004-03-25 | 2005-10-06 | Benq Mobile Gmbh & Co. Ohg | Method and communication device for interference cancellation in a cellular tdma communication system |
| CN1957540A (en) * | 2004-03-29 | 2007-05-02 | 艾利森电话股份有限公司 | Impairment correlation estimation in a spread spectrum system |
| EP1589668B1 (en) * | 2004-04-23 | 2009-12-02 | NTT DoCoMo, Inc. | Signal reception device, signal transmission device, radio communication system, and signal reception method |
| CN101663829A (en) * | 2006-09-29 | 2010-03-03 | 联发科技股份有限公司 | Architecture for joint detection hardware accelerator |
Non-Patent Citations (1)
| Title |
|---|
| 《UWB通信系统中的窄带干扰检测算法研究》;蒋磊1，王永生2，许华1，郭建新1;《系统工程与电子技术》;20090530;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102263574A (en) | 2011-11-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP3553426B2 (en) | Method for directly detecting a data signal modulated by a spread spectrum signal | |
| US7386033B2 (en) | Communication system with receivers employing generalized two-stage data estimation | |
| CN101361284B (en) | Almost linear interference for radio communication is eliminated | |
| CN102185630B (en) | Narrowband interference suppression method and device used in spread spectrum communication system and receiver | |
| US8781043B2 (en) | Successive equalization and cancellation and successive mini multi-user detection for wireless communication | |
| CN101888259A (en) | Method, apparatus and system used for CDMA communication | |
| US8918054B2 (en) | Interference elimination method, interference elimination device, and communication system | |
| CA2492677A1 (en) | Scaling using gain factors for use in data detection for wireless code division multiple access communication systems | |
| CN106789760B (en) | Anti-interference single carrier channel estimation and equalization method and device | |
| CN102263574B (en) | Narrowband interference detection and suppression method, device and receiver for communication system | |
| CN110933007B (en) | Device and method for eliminating interference aiming at OFDM broadband signal | |
| CN102412865B (en) | Narrow-band interference rejection method, device and receiver in a kind of spread spectrum communication system | |
| Nzéza et al. | Spc11-2: Blind multiuser detection in multirate cdma transmissions using fluctuations of correlation estimators | |
| CN103988444B (en) | Nonredundancy equilibrium | |
| CN104022794A (en) | Pulse interference suppression device and method for direct sequence spread spectrum system | |
| Kadous et al. | Decentralized multiuser detection for time-varying multipath channels | |
| Shan et al. | Time-varying filtering using full spectral information for soft-cancellation of FM interference in spread spectrum communications | |
| JP3314199B2 (en) | Spread spectrum signal demodulator | |
| Meftah et al. | Multiuser detection in OFDM-IDMA systems using noisy Independent Component Analysis | |
| US7480493B1 (en) | Bit detection using code spectrum transform techniques for interference cancellation | |
| Lou et al. | Second-order code programming based robust blind multiuser detector for CDMA systems | |
| Lin | Performance analysis of non-data aided SBIB receivers for CDMA systems | |
| Medina et al. | Channel estimation for RLS-based linearly constrained minimum variance receivers | |
| Patel et al. | Interference Suppression using De-correlating Rake Receiver in case of WCDMA | |
| Lin | Development and performance analysis of non-data aided MMSE receiver for DS-CDMA systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |