CN109307860A - A kind of chaff cloud recognition methods based on fine motion feature - Google Patents
A kind of chaff cloud recognition methods based on fine motion feature Download PDFInfo
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- CN109307860A CN109307860A CN201811328560.4A CN201811328560A CN109307860A CN 109307860 A CN109307860 A CN 109307860A CN 201811328560 A CN201811328560 A CN 201811328560A CN 109307860 A CN109307860 A CN 109307860A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/415—Identification of targets based on measurements of movement associated with the target
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/414—Discriminating targets with respect to background clutter
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Abstract
The invention discloses a kind of chaff cloud recognition methods based on fine motion feature, are related to radar system technical field.Range Profile Sequence, time-frequency figure, distance-instantaneous Doppler is respectively adopted as sequence carries out fine motion signature analysis in the application, the application is to increase video figure on the basis of the identification of existing one-dimensional range profile, two-dimensional distance-Doppler's identification, Chaff Cloud Echo signal is studied in three-dimensional feature space, chaff scattering signatures will be examined again closely from broader visual angle, facilitate the extraction of chaff scattering properties, while also contributing to the extraction of the micro- time, distance element and micro-Doppler feature of chaff fine motion.The application can be applied in engineering, and no matter can detect target is that naval vessels, city, aircraft carrier and military position can identify chaff cloud.
Description
Technical field
This application involves radar system technical fields, identify more specifically to a kind of chaff cloud based on fine motion feature
Method.
Background technique
Existing main chaff recognition methods has: distance-Doppler domain two dimension combine identification, multi-mode composite homing,
Doppler's identification, wavelet analysis, MTI/MTD, polarization identification.Their recognition methods is specific as follows:
A) distance-Doppler domain two dimension joint identification: transmitting coherent pulse string is carried out more using the coherent pulse signalf of echo-signal
Pu Le analysis.A kind of most common method is transmitting coherent LFM train of pulse, it has both the excellent of high resolution range core Doppler resolution
The accumulation of point, usual coherent LFM string is that the target echo after pulse pressure is directly passed through fft filters group, different how general to realize
Strangle the matched filtering of frequency echo.
B) the target-seeking guidance of multi-mode composite: this method is exactly in entire attack process, using a variety of of different electromagnetic waves
Mode, it is in series or in parallel, optimal target data information is obtained according to multiple sensors synthesis, it is common to complete guidance task.
It is roughly divided into that photoelectricity is compound, light wave is compound and the compound three categories of electric wave.It the advantage is that the camouflage and deception that can identify target,
It can be effective against chaff, false target jamming profile, but there is also the overall complexity of system height, design cost height, technology maturation
The problems such as poor.
C) Doppler identifies: this method is drawn with target relative to the speed difference of detector based on Chaff Cloud Echo
The Doppler frequency difference risen is realized using FFT or FIR filter group.Doppler frequency shift brought by this movement echo
Amount, is likely to appear in certain filters in narrow band filter group, the detection threshold of each filter can be according to this
The power of institute's Noise and Chaff Cloud Echo in filter and select.It can thus make to be likely to occur in other filters
Echo signal is not by the interference effect of chaff echo.The disadvantages of the method are as follows algorithm is complicated, operand is big, not flexible.
D) wavelet analysis: this method is that the mixing echo-signal for containing chaff clutter is first passed through pretreatment, is then utilized
Wavelet transformation carries out multi-resolution decomposition, and the wavelet coefficient on each scale is carried out noise reduction process, i.e., removes to belong to as much as possible and make an uproar
Sound ground wavelet coefficient, enhancing belong to the part of echo signal, finally use wavelet inverse transformation reconstruction signal, the letter after becoming noise reduction
Number, reach and most possibly separate target with chaff clutter, retain target echo signal, inhibits decoy jamming signal.
E) MTI/MTD: this method processing basis is the echo amplitude and phase that duplicate measurements one fixed target obtains
It is all same.In this way, permanent echo will offset completely when subtracting another continuous impulse with a continuous impulse, and
Moving Target Return cannot then offset completely, and it is remaining to generate Doppler.Traditional MTI radar generally uses delay line canceller
High-pass filter is realized to eliminate fixed target；A bit relatively modern MTI radar then realizes corresponding function using the method for number
Energy.In general, the echo impulse of chaff cloud not constant amplitude, it is high-strength block, composite interference etc. can all be lowered so that and destroy radar MTI
Working effect.
F) polarization identification: using certain transmitting-receiving polarization mode, receives the scattering comprising target actual geometric configuration information
Echo, and then the feature of echo-signal is extracted, fully excavate the polarized state information between decoy chaff and target echo
Difference improve signal-to-noise ratio to inhibit chaff echo information to the maximum extent, obtain ideal identification target effect.It is such
Method rests on theory stage, and from using still, there is a big difference.
On the whole, for proximity sensor elevation carrection scene, both sides reason, above-mentioned chaff identification are limited to
Method there is a problem of not applicable.
On the one hand, due to the difference of detection target, lead to Doppler's identification, the joint identification of distance-Doppler domain two dimension etc.
Method is no longer valid in proximity sensor elevation carrection scene.For example, the identification of distance-Doppler domain two dimension joint is one
For kind to the effective ways for identifying chaff cloud and Ship Target in warship terminal guidance scene, it utilizes Ship Target echo-signal and foil
Distributional difference of the cloud reflection echo on time-frequency domain, realizes to the point targets such as naval vessel and chaff two-dimensional expansion area target
Differentiation, principle is as shown in Figure 1, the distance-Doppler two-dimensional image that Fig. 1 is certain naval vessel and chaff burst measured data can be seen that
The doppler spread of chaff is significantly greater than the doppler spread on naval vessel, and the energy of the distance-Doppler two-dimensional image of chaff point
Cloth is relatively uniform, two-dimensional image occupy when-frequency cellar area is larger；The energy of the two-dimensional image of Ship Target is concentrated mainly on several
On strong scattering point, the time frequency unit area that two-dimensional image occupies is smaller.
But in proximity sensor elevation carrection scene, detection target is city, aircraft carrier and military position, these spies
The echo for surveying target has similar time-frequency domain two-dimensional expansion characteristic with Chaff Cloud Echo signal.In this scene, distance-how general
Domain two dimension joint identification chaff cloud is strangled to have difficulties.For another example Doppler's recognition methods is in the scene of strike aerial target
Identify the main means of chaff cloud, it is realized by the difference of target and chaff cloud in speed using Doppler filter group
The differentiation of target echo and Chaff Cloud Echo signal, its principle is as shown in Figure 2, and Fig. 2 is that the anti-chaff based on Doppler's identification is dry
Disturb test result.A) it is the initial data time domain waveform at 33 moment of certain anti-chaff-jamming test, therefrom cannot distinguish between mesh
Mark echo and chaff echo.B) it is and Doppler domain processing result, target echo and chaff echo falls in different Doppler's frequencies
In band.This is because chaff must move slowly for the longer airborne period of holding, and the movement of the aerial targets such as aircraft, guided missile
Then quickly, the difference of Doppler frequency shift between the two is obvious for speed.But in proximity sensor elevation carrection scene, by
Little in the difference of detection target and chaff cloud in speed, Doppler's recognition methods is also no longer valid.
On the other hand, by polarizing angle identification, multiple domain joint identification etc. on radar effective technology transplant to short-range detecting
Device elevation carrection scene, the constraint by many engineering boundary conditions.By taking polarizing angle identifies as an example, needed in Project Realization
Increase complete polarization antenna, Multi-channel microwave front end and extension signal handling capacity.However, compared to Large Radar system, closely
The resource that journey detector is capable of calling is limited, the possibility being not carried out substantially under the conditions of existing engineering boundary.
In conclusion there is big bandwidth/high density/strong reflection physical characteristic by the chaff cloud that chaff flare is formed, in height
It is easy to cause the false alarm rate of proximity sensor, false dismissed rate to greatly improve in degree measurement scene, and existing identification chaff cloud method
There is a problem of not applicable.
Summary of the invention
In order to overcome above-mentioned defect existing in the prior art and deficiency, this application provides a kind of based on fine motion feature
Range Profile Sequence, time-frequency figure, distance-instantaneous Doppler is respectively adopted as sequence carries out fine motion in chaff cloud recognition methods, the application
Signature analysis, the application are to increase view on the basis of the identification of existing one-dimensional range profile, two-dimensional distance-Doppler's identification
Frequency is schemed, and Chaff Cloud Echo signal is studied in three-dimensional feature space, will examine again chaff scattering signatures closely from broader visual angle,
Facilitate the extraction of chaff scattering properties, while also contributing to micro- time of chaff fine motion, distance element and micro-Doppler feature
It extracts.The application can be applied in engineering, but no matter can detect target be naval vessels, city, aircraft carrier and military position all
Chaff cloud can be identified.
In order to solve above-mentioned problems of the prior art, the application is achieved through the following technical solutions:
A kind of chaff cloud recognition methods based on fine motion feature, it is characterised in that: by the target dynamic echo data of output
Translational compensation is carried out, obtains Range Profile Sequence after translational compensation；Range Profile Sequence after translational compensation is carried out respectively Range Profile,
Time-frequency figure and range Doppler image procossing obtain chaff state；By Range Profile time series, time-frequency figure, range Doppler as when
Between sequence temporally comparison is drawn, and according to feature of image analyze target state, by target symmetry axis and radar line of sight
Angle β be in maximum value minimum, three states of median mark on corresponding time point, rotated by quantitative expedition
Cyclical indicator obtains the In-plane of chaff.
The translational compensation specifically refers to, the compensation to target integral translation campaign, it is the basis of subsequent algorithm.The party
Method is assumed to change less in the complex envelope in certain integration time between the adjacent one-dimensional range profile of target, can use cross-correlation
Method makes it in distance to alignment.Specific steps are as follows: obtain target firstly, compressing according to target dynamic echo data by pulse
One-dimensional range profile；Secondly, carrying out the envelope alignment of neighbor distance picture, less than half Range resolution unit of alignment error；Again,
To be further compensate for high-frequency phase shift caused by range-aligned error, adjust the distance as carrying out interpolation, and estimate excess phase difference；
Finally, completing phase alignment.
The specific steps of time-frequency figure processing are carried out to the Range Profile Sequence after translational compensation are as follows: firstly, along the fast time to list
A Range Profile carries out inverse Fourier transform, obtains frequency domain data；Secondly, one frequency point of selection, the target changed over time
Single-frequency response；Again, short time discrete Fourier transform is carried out to n:n+M pulse in order, obtains the instantaneous more of n-th of pulse time
Pu Le picture；Finally, by traversal, and by each width instantaneous Doppler as chronological, acquisition frequency domain data.
The specific steps of range Doppler image procossing are carried out to compensated Range Profile Sequence are as follows: firstly, along the slow time
It adjusts the distance as sequence progress Fourier transform, obtains 1 range from-instantaneous Doppler picture；Secondly, in order to n:n+M pulse
Fourier transform is carried out, obtains the n-th range from-instantaneous Doppler picture；Finally, by traversal, obtain with the slow time several away from
From-instantaneous Doppler picture.
Compared with prior art, technical effect beneficial brought by the application is shown:
1, Range Profile Sequence, time-frequency figure, distance-instantaneous Doppler is respectively adopted as sequence carries out fine motion feature point in the application
Analysis.The center of mass motion for being primarily due to chaff can make Range Profile Sequence run-off the straight, doppler values and distance-instantaneous Doppler picture hair
Raw offset, therefore translational compensation is first carried out before fine motion signature analysis, then the Range Profile Sequence after translational compensation is carried out respectively
Range Profile, time-frequency figure, range Doppler image procossing are to obtain chaff state.
2, the Doppler that time-frequency figure reflects the different scattering centers on chaff changes course, and the time-frequency figure of fine motion chaff is in
Reveal periodic characteristics, and identical as the chaff fine motion period.When the angle β of radar line of sight and chaff symmetry axis reaches extreme value
When, the radial velocity of each scattering center is all 0 after translational compensation, and each curve on time-frequency figure overlaps.Therefore time-frequency
Figure provides intuitive means for fine motion state analysis.In addition, the equivalent sight revolving speed due to chaff is uneven, Doppler profile
Lateral integration time cannot be too long, otherwise velocity image can be caused fuzzy because of rotation speed change in integration time is excessive.In this Shen
Please in, Doppler profile in a short time equivalent sight revolving speed can be approximately considered it is constant.
3, distance-instantaneous Doppler picture can reflect the distance and doppler velocity of each scattering center on chaff simultaneously,
It is the important means of fine motion signature analysis.But although distance-instantaneous Doppler image has information abundant, understand not
Intuitively, it if simply interpreted according to ISAR picture, or even can lead to misunderstanding.This is because indulging and sitting in range Doppler picture
Mark is distance, consistent with the radial distribution of scattering center, and abscissa is Doppler, and what it reflected is scattering center radial position
Change rate.To the target of uniform rotation, the change rate of scattering center radial position is directly proportional to its lateral position, therefore apart from more
Pu Le picture can be used as ISAR image after calibration to understand.And the equivalent sight revolving speed of precession target is uneven, each width figure
The calibration scale of picture is different, therefore distance-instantaneous Doppler image sequence can not intuitively correspond to the change of chaff posture
Change.More specifically, equivalent sight revolving speed is 0, in distance-wink when the angle β of chaff symmetry axis and radar line of sight is in extreme value
When doppler image in target scattering center be entirely located on zero Doppler's line；It and before angle β reaches extreme value and is more than extreme value
Afterwards, although chaff is identical relative to the posture of radar line of sight, the direction of motion is on the contrary, therefore their distance-instantaneous Doppler
Picture will be symmetrical about zero Doppler's line.In addition, since the equivalent sight revolving speed of chaff is uneven, the cross of distance-instantaneous Doppler picture
Cannot be too long to integration time, otherwise image can be caused fuzzy because of rotation speed change in integration time is excessive.In this application, away from
From-instantaneous Doppler picture, equivalent sight revolving speed can be approximately considered constant in a short time, therefore distance-instantaneous Doppler picture is poly-
Burnt effect is preferable.
4, from high resolution range profile (HRRP) time series, Doppler time sequence, distance-instantaneous Doppler picture
(ISAR) micro- time, micro- frequency and the distance element of chaff cloud are obtained in the data such as time series, and according to chaff cloud fine motion feature
Corresponding relationship research between echo-signal changing rule, realizes the extraction to chaff cloud fine motion feature.Traditional chaff identification,
Such as with the immediate distance-Doppler identification technology of this technology conducted a research in 2D signal domain, can be regarded as away from
From the projection of-Doppler-time three-dimensional feature space on not coaxial.This technology is in the identification of existing one-dimensional range profile, two
Video figure is increased on the basis of dimension distance-Doppler identification, Chaff Cloud Echo signal is studied in three-dimensional feature space, it will
Chaff scattering signatures are examined closely again from broader visual angle, facilitate the extraction of chaff scattering properties, while also contributing to chaff
The extraction of the micro- time, distance element and micro-Doppler feature of fine motion.The technology can be applied in engineering, and no matter can visit
Surveying target is that naval vessels, city, aircraft carrier and military position can identify chaff cloud.
Detailed description of the invention
Fig. 1 is the distance-Doppler two-dimensional image on certain naval vessel and chaff burst measured data；
Fig. 2 is the algorithm flow chart of the application translational compensation；
Fig. 3 is swing circle algorithm for estimating flow chart of the application based on Range Profile Sequence；
Fig. 4 is that the application time-frequency figure draws flow chart；
Fig. 5 is that the application range Doppler picture draws flow chart；
Fig. 6 is dynamic echo fine motion signature analysis of the chaff at angle β=45 °；
Fig. 7 is dynamic echo fine motion signature analysis of the chaff at angle β=90 °.
Specific embodiment
Embodiment 1
As one preferred embodiment of the application, referring to Figure of description 1-6, present embodiment discloses:
A kind of chaff cloud recognition methods based on fine motion feature, it is characterised in that: by the target dynamic echo data of output
Translational compensation is carried out, obtains Range Profile Sequence after translational compensation；Range Profile Sequence after translational compensation is carried out respectively Range Profile,
Time-frequency figure and range Doppler image procossing obtain chaff state；By Range Profile time series, time-frequency figure, range Doppler as when
Between sequence temporally comparison is drawn, and according to feature of image analyze target state, by target symmetry axis and radar line of sight
Angle β be in maximum value minimum, three states of median mark on corresponding time point, rotated by quantitative expedition
Cyclical indicator obtains the In-plane of chaff.
Embodiment 2
As the application another embodiment, present embodiment discloses:
Range Profile Sequence, time-frequency figure, distance-instantaneous Doppler is respectively adopted as sequence carries out fine motion feature point in the application
Analysis.Process flow as shown in Fig. 2, the center of mass motion for being primarily due to chaff can make Range Profile Sequence run-off the straight, doppler values and
Distance-instantaneous Doppler picture shifts, therefore translational compensation is first carried out before fine motion signature analysis, then after translational compensation
Range Profile Sequence carries out Range Profile, time-frequency figure, range Doppler image procossing respectively to obtain chaff state.Based on Range Profile sequence
The swing circle estimating algorithm flow chart of column is as shown in Figure 3.
As shown in figure 4, the Doppler that time-frequency figure reflects the different scattering centers on chaff changes course, fine motion chaff
Time-frequency figure shows periodic characteristics, and identical as the chaff fine motion period.When the angle β of radar line of sight and chaff symmetry axis reaches
When to extreme value, the radial velocity (after translational compensation) of each scattering center is all 0, and each curve on time-frequency figure overlaps.
Therefore time-frequency figure provides intuitive means for fine motion state analysis.In addition, the equivalent sight revolving speed due to chaff is uneven, it is more
The lateral integration time of Pu Le picture cannot be too long, otherwise can cause velocity image mould because of rotation speed change in integration time is excessive
Paste.In following flow chart, it is believed that equivalent sight revolving speed can be approximately considered constant in a short time.
As shown in figure 5, distance-instantaneous Doppler picture can reflect the distance of each scattering center and Doppler on chaff simultaneously
The important means of speed and fine motion signature analysis.But although distance-instantaneous Doppler image has information abundant, reason
Solution is not intuitive, if simply interpreted according to ISAR picture, or even can lead to misunderstanding.This is because in range Doppler picture
In, ordinate is distance, and consistent with the radial distribution of scattering center, abscissa is Doppler, and what it reflected is scattering center diameter
To the change rate of position.To the target of uniform rotation, the change rate of scattering center radial position is directly proportional to its lateral position, because
This range Doppler picture can be used as ISAR image after calibration to understand.And the equivalent sight revolving speed of precession target is uneven
Even, the calibration scale of each width image is different, therefore distance-instantaneous Doppler image sequence can not intuitively correspond to chaff
The variation of posture.More specifically, equivalent sight revolving speed is 0 when the angle β of chaff symmetry axis and radar line of sight is in extreme value,
Target scattering center is entirely located on zero Doppler's line in distance-instantaneous Doppler image；And angle β reach extreme value before and
After extreme value, although chaff is identical relative to the posture of radar line of sight, the direction of motion is on the contrary, therefore their distance-wink
When Doppler profile will be symmetrical about zero Doppler's line.
In addition, the lateral integration time of distance-instantaneous Doppler picture cannot mistake since the equivalent sight revolving speed of chaff is uneven
It is long, otherwise image can be caused fuzzy because of rotation speed change in integration time is excessive.In following flow chart, it is believed that short
Equivalent sight revolving speed can be approximately considered constant in time, therefore the focusing effect of distance-instantaneous Doppler picture is preferable.
By Range Profile time series, time-frequency figure, range Doppler as temporally comparison is drawn time series, and according to
Feature of image analyzes the state of target, and the angle β of target symmetry axis and radar line of sight is in maximum value minimum, median
Four states marked on corresponding time point.Dynamic echo signal is verified to the reflection degree of In-plane.Can wherein it determine
The index that amount is investigated is mainly swing circle.
As shown in Figures 6 and 7, Fig. 6 and Fig. 7 is to investigate chaff echo letter so that chaff is in the echo-signal of different angle as an example
Number Range Profile, time-frequency figure, range Doppler image, and infer chaff state.In addition, it can be seen that target from three width figures
The fine motion period is about 1000 pulses (PRT=83us), this matches with the swing circle 83ms of setting.
Embodiment 3
As the application another embodiment, present embodiment discloses:
The target dynamic echo data of output is carried out translation benefit by a kind of chaff cloud recognition methods based on fine motion feature
It repays, Range Profile Sequence is obtained after translational compensation；Range Profile Sequence after translational compensation is carried out respectively Range Profile, time-frequency figure and away from
It handles to obtain chaff state from doppler image；On time as time series by Range Profile time series, time-frequency figure, range Doppler
Between comparison draw, and according to feature of image analyze target state, the angle β of target symmetry axis and radar line of sight is in
Maximum value minimum, three states of median mark on corresponding time point, by quantitative expedition swing circle index, obtain
Obtain the In-plane of chaff.
The translational compensation specifically refers to, the compensation to target integral translation campaign, it is the basis of subsequent algorithm.The party
Method is assumed to change less in the complex envelope in certain integration time between the adjacent one-dimensional range profile of target, can use cross-correlation
Method makes it in distance to alignment.Specific steps are as follows: obtain target firstly, compressing according to target dynamic echo data by pulse
One-dimensional range profile；Secondly, carrying out the envelope alignment of neighbor distance picture, less than half Range resolution unit of alignment error；Again,
To be further compensate for high-frequency phase shift caused by range-aligned error, adjust the distance as carrying out interpolation, and estimate excess phase difference；
Finally, completing phase alignment.
The specific steps of time-frequency figure processing are carried out to the Range Profile Sequence after translational compensation are as follows: firstly, along the fast time to list
A Range Profile carries out inverse Fourier transform, obtains frequency domain data；Secondly, one frequency point of selection, the target changed over time
Single-frequency response；Again, short time discrete Fourier transform is carried out to n:n+M pulse in order, obtains the instantaneous more of n-th of pulse time
Pu Le picture；Finally, by traversal, and by each width instantaneous Doppler as chronological, acquisition frequency domain data.
The specific steps of range Doppler image procossing are carried out to compensated Range Profile Sequence are as follows: firstly, along the slow time
It adjusts the distance as sequence progress Fourier transform, obtains 1 range from-instantaneous Doppler picture；Secondly, in order to n:n+M pulse
Fourier transform is carried out, obtains the n-th range from-instantaneous Doppler picture；Finally, by traversal, obtain with the slow time several away from
From-instantaneous Doppler picture.
Claims (4)
1. a kind of chaff cloud recognition methods based on fine motion feature, it is characterised in that: by the target dynamic echo data of output into
Row translational compensation obtains Range Profile Sequence after translational compensation；Range Profile Sequence after translational compensation is carried out respectively Range Profile, when
Frequency figure and range Doppler image procossing obtain chaff state；By Range Profile time series, time-frequency figure, range Doppler as the time
Temporally comparison is drawn sequence, and according to feature of image analyze target state, by Range Profile time series, time-frequency figure,
Range Doppler analyzes according to feature of image the state of target as temporally comparison is drawn time series, by target pair
Claim the angle of axis and radar line of sightIt marks, leads on corresponding time point in maximum value minimum, three states of median
Quantitative expedition swing circle index is crossed, the In-plane of chaff is obtained.
2. a kind of chaff cloud recognition methods based on fine motion feature as described in claim 1, it is characterised in that: the translation is mended
It repays and specifically refers to, the compensation to target integral translation campaign, specific steps are as follows: firstly, being passed through according to target dynamic echo data
Pulse compression obtains the one-dimensional range profile of target；Secondly, carry out neighbor distance picture envelope alignment, alignment error less than half away from
From resolution cell；Again, to be further compensate for high-frequency phase shift caused by range-aligned error, picture of adjusting the distance carries out interpolation, and
Estimate excess phase difference；Finally, completing phase alignment.
3. a kind of chaff cloud recognition methods based on fine motion feature as described in claim 1, it is characterised in that: to translational compensation
Range Profile Sequence afterwards carries out the specific steps of time-frequency figure processing are as follows: firstly, carrying out inverse Fourier to single Range Profile along the fast time
Leaf transformation obtains frequency domain data；Secondly, one frequency point of selection, the target single-frequency response changed over time；Again, by suitable
N:n+M pulse of ordered pair carries out short time discrete Fourier transform, obtains the instantaneous Doppler picture of n-th of pulse time；Finally, by time
It goes through, and by each width instantaneous Doppler as chronological, acquisition frequency domain data.
4. a kind of chaff cloud recognition methods based on fine motion feature as described in claim 1, it is characterised in that: to compensated
The specific steps of Range Profile Sequence progress range Doppler image procossing are as follows: firstly, adjusting the distance along the slow time as sequence carries out Fu
Vertical leaf transformation, obtains 1 range from-instantaneous Doppler picture；Secondly, carrying out Fourier transform to n:n+M pulse in order, obtain
N-th range is from-instantaneous Doppler picture；Finally, obtaining several distance-instantaneous Doppler pictures with the slow time by traversal.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110533069A (en) * | 2019-07-25 | 2019-12-03 | 西安电子科技大学 | A kind of two-dimentional chaff distribution character recognition methods based on algorithm of support vector machine |
| CN115079103A (en) * | 2022-06-16 | 2022-09-20 | 北京理工大学 | Multi-domain feature and LightGBM-based foil strip interference resisting method |
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