RU2695602C2 - Adaptive radio monitoring system - Google Patents

Abstract

FIELD: physics.SUBSTANCE: invention relates to radio monitoring of communication systems with jumping operating frequencies. To increase throughput capacity and flexibility of complex architecture to radio monitoring complex with M reception paths and N digital subsystems of analysis introduce switching matrix M × N and a decision device which controls antennas and switching matrix.EFFECT: technical result is high noise immunity, throughput, width of operating frequency range, reliability and availability, as well as reduced cost due to higher level of unification, reduced hardware complexity, reduced operating costs, flexibility of the complex architecture.1 cl, 1 dwg

Description

The invention relates to the field of operational monitoring of hidden noise-immune radio communication systems based on the emission of broadband signals.

Currently, signals with pseudo-random tuning of the operating frequency (PFRCH) are being received from wideband signals in professional and satellite communications. Carrying out radio monitoring (RM) of such signals is difficult, since the frequency range of the components of the frequency-time matrix of radio emissions can vary from 1 MHz to 1000 MHz.

Known digital receiver-spectrum analyzer [1. Radzievsky V.G., Orphan A.A. Theoretical foundations of electronic intelligence. - M .: Radio engineering, 2004. - P. 108], providing RM of connected signals in the frequency band up to 100 MHz and consisting of the input high-frequency part (analog of the linear path of the radio receiver), analog-to-digital converter (ADC), data storage buffer (BND) ) and a discrete Fourier transform processor (PDF).

Signs of an analogue that coincide with the features of the claimed device are the input high-frequency part (analogue of the antenna and the radio path), analog-to-digital converter (ADC), data storage buffer (BND), discrete Fourier transform processor (PDPF) (analog of a digital spectrum analyzer).

The disadvantages of the device under consideration include the possibility of conducting RM of connected signals with an instantaneous analysis band of not more than 100 MHz and an input signal-to-noise ratio much larger than unity.

A device for vector analysis of the signal spectrum [2. Afonsky A.A., Dyakonov V.P. Digital analyzers of a spectrum, signals and logic. - M .: Solon-Press, 2009. - P. 30], designed to analyze the amplitude and phase spectra of connected signals and consisting of a radio frequency converter, to the output of which an intermediate frequency filter, an ADC with a clock generator, a digital signal converter, a processor are connected fast Fourier transform (FFT) with a memory and an indication device, and the frequency converter consists of a series-connected input filter, a mixer with a local local oscillator and an amplifier.

The disadvantages of this device include the ability to conduct RM connected signals with an instantaneous analysis band of not more than a few tens of MHz and an input signal-to-noise ratio much larger than unity.

Of the known devices similar to the claimed invention, the closest in technical essence is a device for the express analysis of radio emissions with pseudo-random tuning of the operating frequency [3. RF patent No. 110574, publ. November 20, 2011], taken as a prototype.

In the device for monitoring the operation of radio stations with pseudo-random tuning of the operating frequency, the input signal received by the antenna is fed through the receiver’s linear path to the input of a complex frequency carrier (CPC), where it is decomposed into quadrature components and transferred to the region of zero frequencies. The received quadrature signals are converted to digital form using an analog-to-digital converter (ADC), and then they are transmitted to a digital step-down converter (DPC), with which the signal of interest is selected, its drift to zero frequency and signal decimation to provide the necessary analysis band . The required number of signal samples from the output of the DSP is accumulated in the signal sample accumulation unit (BNO), and then it is fed to the digital spectrum analyzer (CSA) using a common array, based on the calculation of the fast Fourier transform (FFT). An array of frequency samples of the signal spectrum is generated in the CSA, which are fed to the threshold formation unit (BFT) and to the logic analyzer (LA). In the BFP, based on the analysis of the spectral samples of the signal and the specified detection criteria, the detection threshold is calculated, which enters the aircraft. Comparing the spectral samples of the signal with a threshold, the aircraft makes a decision on the detection of signals, estimates their center frequencies and the width of the spectrum.

The signs of this device (prototype) that coincide with the essential features of the claimed device are an antenna, a radio receiver, an integrated frequency transmitter, an analog-to-digital converter, a digital down converter, a readout unit, a digital spectrum analyzer, a threshold generation unit, a logic analyzer, and to the output antennas are connected in series with a radio receiver, integrated frequency carrier, analog-to-digital converter, digital buck converter s block accumulation counts and a digital spectrum analyzer, to the output of which are connected in parallel forming unit input thresholds and the first input of the logic analyzer, the logic analyzer of the second input is connected to the clock output of the analog-digital converter, the third input of the logic analyzer connected to the output unit for generating thresholds.

The disadvantages of the prototype include a relatively narrow band of simultaneously processed frequencies, the inability to simultaneously work on signals in different frequency ranges and spatially separated sources.

The technical task of the claimed model is to solve the following set of tasks:

1. The possibility of conducting RM with maximum throughput on the emissions of several spacecraft (SC) in each observation session.

2. The possibility of increasing the noise immunity of the RM adaptive radio monitoring complex (AKP) due to the coherent or incoherent accumulation of results from individual channels.

3. Expanding the functionality of the AKP by restructuring its architecture and controlling device parameters in individual channels.

4. The ability to reduce weight and size characteristics and the cost of AKP by reducing the number of backup equipment and reducing operating costs.

The technical result is achieved by the fact that the adaptive radio monitoring complex additionally includes a switching matrix, M slewing devices and a resolver, the output of each slewing device connected to the corresponding antenna, the output of the first slewing device connected to the first antenna, and the output M of the th rotary support device is connected to the Mth antenna, the inputs of the rotary support devices are connected to the 1, 5, ..., 4N-3 outputs of the resolver, the outputs of the complex frequency carriers are connected to the inputs of the switching matrix, the outputs of the switching matrix are connected to the inputs of analog-to-digital converters that are part of the digital spectrum analyzers of the devices for express analysis of radio emissions, the outputs of the digital spectrum analyzers corresponding to the outputs of the logic analyzers are connected to the corresponding N inputs of the resolving device, outputs 2, 6, ..., 4N-2 of the solving device are connected to the control inputs of complex frequency carriers, outputs 4, 8, ..., 4N of the solving device are connected to N control inputs odes of the switching matrix, the outputs 3, 7, ..., 4N-1 of the solver are connected to the control inputs of the digital step-down converters.

To achieve a technical result, an adaptive radio monitoring complex containing M devices for express analysis of radio emissions, each of which consists of an antenna, a radio receiver, a complex frequency carrier, an analog-to-digital converter, a digital buck converter, a sample accumulation unit, a digital spectrum analyzer, a threshold generation unit, a logical analyzer, moreover, a radio receiver, an integrated frequency carrier, and an analog- a digital converter, a digital step-down converter, a sampling unit and a digital spectrum analyzer, the output of which is connected to the input of the threshold generation unit and the first input of the logic analyzer, the second input of the logic analyzer is connected to the clock output of the analog-to-digital converter, the third input of the logic analyzer is connected to the output of the block the formation of thresholds, additionally introduced a switching matrix, M slewing devices and a decisive device, and the output of each the rotary device is connected to the corresponding antenna, the output of the first rotary device is connected to the first antenna, and the output of the Mth rotary device is connected to the Mth antenna, the inputs of the rotary device are connected to 1, 5, ..., 4N -3 outputs of the deciding device, the outputs of the integrated frequency carriers are connected to the inputs of the switching matrix, the outputs of the switching matrix are connected to the inputs of the analog-to-digital converters included in the digital spectrum analyzers of the express analysis devices and radio emissions, the outputs of digital spectrum analyzers corresponding to the outputs of logic analyzers are connected to the corresponding N inputs of the resolver, the outputs 2, 6, ..., 4N-2 of the resolver are connected to the control inputs of the complex frequency carriers, the outputs 4, 8, ..., 4N of the resolver connected to the N control inputs of the switching matrix, the outputs 3, 7, ..., 4N-1 of the solver are connected to the control inputs of the digital step-down converters.

The combination of distinguishing features and properties of the invention in the available literature is not found, therefore, it meets the criteria of novelty and inventive step.

The structure of the AKP is shown in the drawing.

AKP consists of:

11-1, 11-2, ..., 11-M - antennas (A _1, A _2, ..., A _M);

12-1, 12-2, ..., 12-M - radio receivers (RPrU ₁ , RPrU ₂ , ..., RPrU _M );

13-1, 13-2, ..., 13-M - integrated frequency carriers (KPCh ₁ , KPCh ₂ , ..., KPCh _M );

14-1, 14-2, 14-N - analog-to-digital frequency converters (ADC ₁ , ADC ₂ , ..., ADC _N );

15-1, 15-2, ..., 15-N - digital step-down converters (CPP ₁ , CPP ₂ , ..., CPP _N );

16-1, 16-2, ..., 16-N - blocks of accumulation of samples (BNO ₁ , BNO ₂ , ..., BNO _N );

17-1, 17-2, ..., 17-N - digital spectrum analyzers (CSA ₁ , CSA ₂ , ..., CSA _N );

18-1, 18-2, ..., 18-N - threshold formation unit (BFP ₁ , BFP ₂ , ..., BFP _N );

19-1, 19-2, ..., 19-N - logic analyzers (LA ₁ , LA ₂ , ..., LA _N );

20 - switching matrix (CM);

21-1, 21-2, ..., 21-M - slewing-rotary devices (OPU ₁ , OPU ₂ , ..., OPU _M );

22 - a decisive device (RU);

23-1, 23-2, ..., 23-N - digital signal processors (DSP ₁ , DSP ₂ , ..., DSP _N );

24-1, 24-2, ..., 24-M - antenna posts (AP ₁ , AP ₂ , ..., AP _M );

25 - control point (PU).

The technical result is achieved by the fact that in the known device is additionally introduced:

1. The switching matrix (KM) 20, installed between the outputs of the KPCH 13-1, 13-2, ..., 13-M antenna posts AP ₁ , AP ₂ , ..., AP _M and the inputs of the DSP 23-1, 23-2, ... , 23-N, and providing the restructuring of the architecture of the AKP in order to expand its functionality.

2. Slewing rings (OPU ₁ , OPU ₂ , ..., OPU _M ) 21-1, 21-2, ..., 21-M, providing autonomous adjustment of the spatial position of the antenna beams (A ₁ , A ₂ , ..., A _M ) 11-1, 11-2, ..., 11-M, depending on the tasks of the RM solved in a particular observation session.

3. The resolving device (RU) 22, installed at the output of digital signal processors (DSP ₁ , DSP ₂ , ..., DSP _N ) 23-1, 23-2, ..., 23-N, providing control of the parameters of slewing rings, complex frequency carriers, switching matrix, digital step-down converters, as well as the collection and storage of information obtained during the RM.

The principle of operation of the claimed device will be considered for the RM emissions of satellite communication systems with frequency hopping.

The AKP is structurally implemented as a set of spatially spaced maintenance-free antenna posts (AP ₁ , AP ₂ , ..., AP _M ) 24-1, 24-2, ..., 24-M and control point (PU) 25. The structure of AP 24 includes OPU 21, dual-band antenna (A) 11 and RPrU 12 with KPCH 13. The composition of PU 25 includes KM 20, a set of N digital signal processors (DSP ₁ , DSP ₂ , ..., DSP _N ) 23-1, 23-2, ..., 23-N and RU 22. Each DSP contains ADC, DSP, BNO, DSS, BFP and LA.

To achieve this goal and solve the formulated problems for the claimed invention, various types of complexing of components and the management of their parameters of individual functional units in order to change the architecture and parameters of the AKP are used. In the process of integration, approaches are used based on various options for connecting the AP and DSP, as well as adapting the parameters of the antennas, RPrU, KPCh, TsPP and RU.

In order to increase the AKP throughput, it is advisable to use an architecture that ensures autonomous operation of each AP in a separate spacecraft using dual-band antennas, RPPR and KPCh, as well as a set of DSPs that provide the corresponding instantaneous band of the RM.

In order to increase the noise immunity of the RCC, it is advisable to use an architecture in which the antennas of all the antennas are pointed at the same satellite, the receivers of each antenna are tuned to the working frequency range of the investigated satellite, complex frequency carriers provide the transfer of the received signals into a single range of intermediate frequencies, then through the switching the matrix to the output of each antenna post is connected to a set of DSPs, providing the necessary band of instant analysis and resolution in frequency and further in ayuschem device carried accumulation results from separate AP that provides a power gain equal to the number of combined AP. So at M = 4, the gain is 6 dB.

In order to expand the functionality of the AKP, for example, the implementation of the frequency panorama modes and detailed analysis, you can use the connection to the AP output of two DSPs with different parameters of the DSP.

The reduction in weight and size characteristics and the cost of AKP is achieved due to the possibility of using A, RPrU and DSP, as well as limiting the number of backup equipment.

The reduction in operating costs is achieved due to the placement of crucial devices on the control panels for all APs, which can significantly reduce the number of staff.

Consider the features of the functioning of the AKP for the situation when the RM is carried out as a result of the autonomous use of one of the APs to intercept the signals emitted by a particular spacecraft.

An additive mixture of the frequency hopping signal δ (t) and noise n (t) after passing through the antenna (11-1) and the linear path of the RPRU (12-1) (see figure) is fed to the input of a complex frequency carrier (13-1), which provides the decomposition of the input process into quadrature components and their transformation into the region of video frequencies. Next, the analog video process, which is allocated in the frequency range of the components of the time-frequency matrix (FMM) and through the switching matrix (20), is fed to the input of a two-channel ADC (14-1), where it is converted to digital form and fed to a digital step-down frequency converter ( 15-1), and then after the accumulation of samples in the BNO (16-1), it enters the CSA (17-1), implemented on the basis of the fast Fourier transform (FFT). From the output of the CSA (17-1) with the closed input of the switchgear (12-1), the process corresponding to the noise n (t) is fed to the input of the threshold formation unit (18-1), in which, depending on the permissible value of the false alarm in the channels of the CSA (17-1) a normalized threshold _{POR is formed} , which is fed to the logic analyzer (19-1). Here, when y (t) = δ (t) + n (t) is received, processes from the outputs of the DSA channels and clock pulses from the output of the generator included in the ADC are supplied.

At the output of the CSA (17-1) after the basic FFT operations, the set of time samples of the quadrature components of the input process is converted to the set of frequency samples, which after averaging and quadrature processing turn into a set of voltages corresponding to the level of spectral density in the corresponding channels of the CSA (17-1)

, …, n_ƒ канала ЦСА (17-1);where U _y1 (T), ..., U _yi (T), ..., U _yn (T) are voltage readings taken from the outputs of the 1st, ...,

, ..., n _{ƒ of} the CSA channel (17-1);

U _S (T) - a set of samples of voltages corresponding to a single signal;

T is the integration constant in the CSA channels (17-1);

T _FFT - the duration of one cycle of FFT;

Δƒ _a - strip instant analysis;

t ₀ - the moment of the beginning of the RM session;

n _ƒ - is the number of channels in the CSA (17-1);

Δƒ _k - bandwidth of one channel of the CSA;

средняя частота

ширина спектра

моменты появления

и окончания

символов.Further, the voltages {U _yl (T), ..., U _yi (T), ..., U _yn (T)} are compared with the threshold U _POR , and in those frequency channels in which the threshold is exceeded, the hypothesis of signal detection is accepted, after which this sample goes to a logic analyzer to evaluate signal parameters such as amplitude

average frequency

spectrum width

appearance moments

and ending

characters.

When receiving one frequency hopping signal as part of a multicomponent radio environment (RO), the frequency hopping signal classification algorithm corresponds to the algorithm of a complex statistical problem, which includes 3 tasks:

1) the task of classifying "new" components;

2) the task of classifying "short-term" components;

3) classification tasks of "narrow-band" components:

- гипотезы о приеме ППРЧ-сигнала на основе внутрицикловой обработки в течение 1, …, z, …, n_ц цикла;Where

- hypotheses about the reception of the frequency hopping signal based on intra-cycle processing for 1, ..., z, ..., n _c cycle;

- гипотезы о приеме "кратковременных" компонентов;

- hypotheses about taking "short-term"components;

- гипотезы о приеме "узкополосных" компонентов;

- hypotheses about the reception of "narrow-band"components;

- оценка частот элементов ППРЧ-сигналов;

- an estimation of frequencies of elements of frequency hopping signals;

Н _ППРЧ - the hypothesis of receiving the frequency hopping signal with the corresponding frequency bank;

T _PM , n _C - the duration and number of analysis cycles of the frequency hopping signal.

) и "новые" (гипотеза

) строятся на основе таких информативных признаков как гипотеза об обнаружении, оценка несущей частот

ширины спектра

момента начала компоненты

и описываются так:Algorithms for classifying components into "old" (hypothesis

) and "new" (hypothesis

) are based on such informative features as the detection hypothesis, carrier frequency estimation

spectrum width

components start

and are described as follows:

- оценка момента начала "новой" компоненты, несущая частота которой расположена на "свободных" участках рабочего частотного диапазона ЭА;Where

- assessment of the start time of the "new" component, the carrier frequency of which is located on the "free" sections of the working frequency range of the EA;

,

- быстродействие и количество используемых циклов при классификации "старых" компонентов;

,

- speed and number of cycles used in the classification of "old"components;

,

- быстродействие и количество используемых циклов при классификации "новых" компонентов;

,

- speed and number of cycles used in the classification of "new"components;

- количество циклов, соответствующих ожиданию появления "новой" компоненты.

- the number of cycles corresponding to the expectation of the appearance of a "new" component.

When classifying "old" and "new" components, the main influence on the success of solving the problem is exerted by missing signals. For the case of classification of the "old" narrow-band components based on the detection criterion in all cycles (algorithm "n _C from n _C "), the probability of successful classification of the "old" components P ₄₁ is equal to:

When classifying "new" narrowband components, erroneous decisions appear both due to the presence of gaps in the signals and the appearance of false alarms. Moreover, the probability of successful classification of the "new" components P ₅₁ in the case of using the algorithm "n of n" is:

- вероятность ошибок при наличии пропусков «нового» компонента в течение

циклов анализа, начиная с момента появления компонента;Where

- the probability of errors in the presence of omissions of the "new" component during

analysis cycles, starting from the moment the component appears;

- вероятность ошибок за счет появления ложных тревог на одной из частот f_ij в течение

циклов анализа.

- the probability of errors due to the appearance of false alarms at one of the frequencies f _ij during

analysis cycles.

) и "долговременные" (гипотеза

) строятся на основе таких информативных признаков как гипотеза об обнаружении и оценки длительности компонентов

и описываются следующими соотношениями:Algorithms for classifying components into "short-term" (hypothesis

) and "long-term" (hypothesis

) are based on such informative features as the hypothesis of detection and assessment of the duration of components

and are described by the following relationships:

where ΔT is the maximum expected duration of the "short-term" components of PO;

- количество циклов анализа, используемых при классификации "кратковременных" компонентов.

- the number of analysis cycles used in the classification of "short-term" components.

When classifying "long-term" components, the main influence on the success of solving the problem is caused by omissions of signals, which lead to the effect of entanglement of components. If, when deciding to use a criterion corresponding to the skipping of signals at one frequency f _{ij for} at least two adjacent analysis cycles, the probability of successful classification of “long-term” P ₄₂ components is

циклах анализа (алгоритм "n_Ц из n_Ц"), то вероятность успешной классификации "кратковременных" компонентов Р₆ равнаWhen classifying "short-term" components, erroneous decisions arise both with missing signals and with false alarms. If at the same time, if there is a solution, use the detection criterion in all

analysis cycles (algorithm "n _C from n _C "), then the probability of successful classification of "short-term" components P ₆ is

- вероятность ошибочных решений за счет пропусков сигналов;Where

- the probability of erroneous decisions due to missing signals;

- вероятность ошибочных решений за счет наличия ложных тревог.

- the probability of erroneous decisions due to the presence of false alarms.

When receiving one frequency hopping signal as part of a multicomponent RO, the frequency hopping classification algorithm corresponds to the algorithm of a complex statistical problem, which includes 3 tasks:

1) the task of classifying "new" components;

2) the task of classifying "short-term" components;

3) classification tasks of "narrow-band" components:

- гипотезы о приеме ППРЧ-сигнала на основе внутрицикловой обработки в течение 1, …, z, …, n_ц цикла;Where

- hypotheses about the reception of the frequency hopping signal based on intra-cycle processing for 1, ..., z, ..., n _c cycle;

- гипотезы о приеме "кратковременных" компонентов;

- hypotheses about taking "short-term"components;

- гипотезы о приеме "узкополосных" компонентов;

- hypotheses about the reception of "narrow-band"components;

- оценка частот элементов ППРЧ-сигналов;

- an estimation of frequencies of elements of frequency hopping signals;

N _DC - the hypothesis of the reception of the frequency hopping signal with the corresponding frequency bank;

T _PM , n _C - the duration and number of analysis cycles of the frequency hopping signal.

When classifying the frequency hopping signal received as part of a multicomponent RO, erroneous decisions are possible due to missing elements of the frequency hopping signal, false alarms, entanglement with rapidly fading "narrow-band" components, overlapping frequencies of the elements of the frequency hopping signal on the "occupied" parts of the spectrum, and the presence of pulse interference with high flux density.

при

Для случая приема нескольких ППРЧ-сигналов ортогональными массивами частот для их разделения необходимо усложнять алгоритм классификации путем добавления таких информативных признаков, как номиналы несущих частот ЧВМ и величина частотных скачков.In those cases when the frequency jump Δƒ in the frequency hopping signal does not exceed the passband of the CSA channels (17-1) Δƒ _k for classifying frequency hopping signals, one can limit oneself _to such informative features as the shortness of the frequency transmission and the time continuity of the frequency frequency hopping signal, consisting of M _ƒ frequencies. If we take into account the influence on the reliability of the classification of the frequency hopping signals only of the omissions of individual parcels, then the probability of a correct classification is

at

For the case of receiving several frequency hopping signals by orthogonal frequency arrays for their separation, it is necessary to complicate the classification algorithm by adding such informative features as the values of the carrier frequencies of the FMM and the magnitude of the frequency jumps.

After determining the frequency bank in the computer, the load of the frequency range and the number of subscribers in the network are determined. To this end, by arranging the frequencies of the elements of the FMM, a three-dimensional picture is constructed where the OX axis allows you to determine the number of subscribers, the OY axis corresponds to the current frequencies, and the OZ axis corresponds to the moments of the appearance of the FM elements.

Based on the information received, we can begin to solve the problem of intercepting information and electronic suppression.

The antenna of the combined reception of signals of two frequency ranges together with the OPU is implemented on the basis of the work presented in the journal "General issues of radio electronics", c. 1, 2008, Rostov n / a, FSUE RNIIRS, p. 3-7.

A wide-range receiver with an instantaneous operating frequency range of the order of 1 GHz can be implemented on the basis of the work presented in the journal General Issues of Radio Electronics, 1 (20), 2002, Rostov n / A, Federal State Unitary Enterprise RNIIRS, pp. 71-82.

An integrated frequency carrier can be implemented on the basis of a specialized chip HMC597LP4 (f. Hittite), operating in the frequency range from 0.1 to 4 GHz. The bandwidth of each of the quadrature channels is 600 MHz.

A two-channel analog-to-digital converter can be implemented on the ADC12D1800 ADC (F. Texas Instruments), which has a sampling frequency of 1800 MHz and the number of bits 12.

A digital step-down converter, a digital spectrum analyzer, a sample accumulation unit, a threshold formation unit, and a logic analyzer can be implemented on the Virtex-6, Virtex-7 FPGAs of the Xilinx family or on custom specialized chips.

Digital spectrum analyzer (CSA), BNO, BFP, LA and RU can be implemented on FPGAs of the Virtex-6, Virtex-7 families, which have large computing resources and sampling frequencies up to 400-500 MHz.

Thus, the implementation of AKP is straightforward. The presented diagram on the figure and a detailed description of the principle of operation of each unit, developed on typical functional units, using a modern element base, allows us to manufacture an adaptive complex of radio monitoring in an industrial way according to its purpose, which characterizes the invention as industrially applicable.

Claims (1)

An adaptive radio monitoring complex containing M devices for express analysis of radio emissions, each of which consists of an antenna, a radio receiver, a complex frequency carrier, an analog-to-digital converter, a digital down-converter, a readout unit, a digital spectrum analyzer, a threshold generation unit, a logical analyzer, and a radio receiver, an integrated frequency carrier, an analog-to-digital converter, a digital down-converter are sequentially connected to the antenna output a converter, a sample accumulation unit and a digital spectrum analyzer, the output of which is connected to the input of the threshold formation unit and the first input of the logic analyzer, the second input of the logic analyzer is connected to the clock output of the analog-to-digital converter, the third input of the logic analyzer is connected to the output of the threshold formation unit, which differs the fact that additionally introduced a switching matrix, M slewing devices and a solver, and the output of each slewing ring the triples are connected to the corresponding antenna, the output of the first slewing ring is connected to the first antenna, and the output of the Mth slewing ring is connected to the Mth antenna, the inputs of the slewing rings are connected to the 1, 5, ..., 4N-3 outputs a decider, the outputs of the integrated frequency carriers are connected to the inputs of the switching matrix, the outputs of the switching matrix are connected to the inputs of the analog-to-digital converters that are part of the digital spectrum analyzers of the devices for express analysis of radio emissions, the moves of the digital spectrum analyzers corresponding to the outputs of the logic analyzers are connected to the corresponding N inputs of the resolver, the outputs 2, 6, ..., 4N-2 of the resolver are connected to the control inputs of the complex frequency carriers, the outputs 4, 8, ..., 4N of the resolver are connected to N the control inputs of the switching matrix, the outputs 3, 7, ..., 4N-1 of the solver are connected to the control inputs of the digital step-down converters.

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