# Mode of computer-interferometric detection-direction finding of signals of extended spectrum

FIELD: the invention refers to measuring technique and may be used for passive detection and direction finding of communications systems, location and control, using complex signals.

SUBSTANCE: the technical result is achieved due to using of the reliability criterion of detection-direction finding and solution of the problem of the "reference signal" at compression of signal spectrum with low spectral power density of an unknown form. That approached quality of matched filtering at low signal-to-noise ratios to maximum attainable quality for the completely known reference signal. At that sensitivity of detection and direction finding of signals with extended spectrum increases in relation to the prototype in N times where N - a number of antennas of the receiving array.

EFFECT: increases effectiveness of detection-direction finding of the sources radiating broad class signals with extended spectrum of unknown form having energy and time secretiveness.

2 cl, 1 dwg

The invention relates to measuring technique and can be used in acoustics and electronics for passive detection-finding complex signals of unknown form with a low spectral power density.

Known methods currently does not effectively solve the problem of detection and direction finding systems of communication, location and control using signals with high power reserve, i.e. the complex signals of the three main classes: signals with abrupt change of frequency signals with linear frequency modulation and wideband pseudo-random signal.

There is a method of computer-interferometric detection-finding signals with spread spectrum [1], including:

1. The signal spread spectrum two spatially separated channels and the output signal of each channel;

2. Definition of cross-correlation of the output signals of the channels and restore the mutual correlation function of the signals spread spectrum taken two channels;

3. Filtering of the signal cross correlation functions and the allocation of only the Central part of the mutual correlation function;

4. The transformation of the Central part of the mutual correlation function in the complex mutual spectral density;

5. Determine who begins the presence of the signal with the spread spectrum module integrated mutual spectral density;

6. The measurement of the angle of inclination of the phase of the complex mutual spectral density and determining the direction of arrival of a received signal spread spectrum.

This method to calculate the bearing carries out compression of the received signal over time, which provides a coding gain when a signal is received spread spectrum. However, this advantage is limited by the presence of two spatially separated receiving channels.

Known a better way computer-interferometric detection-finding signals with spread spectrum [2], which uses a set of spatially separated receiving channels and adopted for the prototype. The method includes:

1. Coherent reception signal with spread spectrum grating antennas in a given frequency band. The result is an ensemble of signals x_{n}(t)dependent on time t and the number of antennas n=0,..., N-1;

2. Synchronous transformation of the ensemble of the antenna-received signals x_{n}(t) into digital signals x_{n}(z), where z is the number of the time reference signal;

3. Synchronous recording of digital signals x_{n}(z) at a given time interval;

4. Converting digital signals x_{n}(z) in the complex time spectra of the signal from each antenna, for example, a discrete Fourier transform on vremeni using the algorithm of the fast Fourier transform (FFT)
where F_{t}{...} operator FFT on time, and k=0,..., K-1 is the number of frequency reference. The result of this operation is a matrix of complex temporal spectra of the received signalsize N×K;

5. Remembering matrix spectra of the received signal;

6. The calculation of the power spectrum signal of the reference antenna;

7. Comparison of the power spectrumwith a threshold and to select the frequency at which the detected signal of the transmitter;

8. Receiving the amplitude-phase distribution (PRA)signal received by the antennas of the lattice by a convolution of the complex-conjugate of the reference spectraand spectra of the otherantenna at the selected frequency, whereis a column vector with elementswho are the complex amplitudes of signals received by the individual antennas;

9. The calculation of the angular spectrum of the received signal by multiplying the received PRAin a complex environment function that depends on the configuration of the antenna array, and the summation of the received works;

10. The definition of bearing plumage is of Attica the maximum of the square of the module of the complex angular spectrum.

Thus, the prototype method is to calculate the bearing by a convolution of the complex-conjugate of the spectrum of the referenceand the spectrum of the n-th antennalattice provides compression spectrum of the signal received by each antenna array.

The disadvantages of the prototype method are:

- low sensitivity for detection and direction finding of radio signals with spread spectrum;

- the presence of abnormally large errors in direction finding (up to 30 ° or more).

Low sensitivity in detection due to the fact that the decision about the discovery is made on a signal from only one antenna is selected as a reference. The power signal received by the remaining antennas are not used.

The limit of sensitivity in the direction finding due to the low compression quality spectrum when matched filtering processed signal with a low signal-to-noise ratio at the output of the elements of the antenna array, as this signal correlates more noise than useful signal. This is true for all of the autocorrelation of the systems forming the reference signal directly from the received signal. In contrast, in a mutually correlated systems as the reference signal used is free from noise signal that provides maksimalno possible energy gain due matched filtering the useful signal.

Abnormally large errors in direction finding signals with spread spectrum due primarily to the high probability of false detections inherent in the method prototype. This is because in the prototype used traditional power sign detection signals, which, as you know, due to the necessity of lowering the detection threshold loses its efficiency at low input signal to the noise inherent in the signal with a low spectral power density.

Thus, the abnormally large errors in direction finding signals with spread spectrum due to the possibility of obtaining bearings for noise realizations, on the one hand, and the lack of a prototype of the operations of identification and exclusion of bearings obtained by noise implementations.

Increased sensitivity when using the prototype method can provide several known ways.

1. By increasing the base of the antenna array and the number of its elements.

However, the database size is limited to the interval of the spatial correlation of the signal, which depends on properties of the medium of propagation. In addition, increasing the base antenna array requires a substantial increase in the cost of building the system of direction finding and, as a rule, limited to use in practice conditions and placement of the antenna array.

2. The increase in the duration of the recording interval signal for distinguishing signal from noise due to accumulation over time.

This path is only partially improves the efficiency of the detection-direction finding signals with spread spectrum, because the possibility of accumulation is limited in application by the duration of the signals.

3. The use of incoherent addition of the power spectra of signals of all antennas grating to detect the signal.

However, non-coherent addition of the signals may increase the sensitivity of detection only inonce that is significantly lower than for coherent addition of signals, as it leads to the loss of phase information.

Thus, these paths are not radically solve these problems.

The technical result of the invention is to improve the efficiency (sensitivity and reliability of detection-finding sources, emitting a broad class of signals of unknown form of spread spectrum, with both temporary and energy reserve.

Improving the efficiency of the detection-direction finding of signals is achieved by:

1. Solve the "reference signal", which increases the sensitivity by applying instead of the traditional convolution complex conjugate spectra, usually noisy with what drove the reference antenna and signals from the other antennas of the lattice, the iterative form of a convolution of the spectra of the signals of the individual antennas of the lattice and is much less noisy complex conjugate of the spectrum of the output signal of the lattice, also iterative obtained by coherent addition of the signals from all antennas of the lattice in the direction of the source. Iterative formed convolution provides a coherent accumulation of the useful output signal of the lattice and the corresponding PRA on the background noise, which leads to the maximum possible signal-to-noise ratio when compressing the spectrum of a signal of unknown shape and brings quality matched filtering to the maximum possible quality for the case of completely known reference signal;

2. Use the most General criterion for the validity of the detection-direction finding, which reduces the abnormally large error detection-finding signals with spread spectrum, characterized by a low spectral power density. As a sign of authenticity detection-finding along with traditionally used energy criterion used criterion of the form of the wave front of the received signal, providing verification of the degree of closeness of the form of the adopted model and wave fronts.

The technical result is achieved in that in the method of computer-interferometric obnaroujeno.opisana signals with spread spectrum, includes coherent reception signal grid antenna at a given frequency, a synchronous transformation of the ensemble of the antenna-received signals into digital signals and their simultaneous registration at a given time interval, the conversion of digital signals in a complex temporal spectra of the signal from each antenna and the memory matrix spectrareceived signal, according to the invention iterative reconstructed amplitude and phase distribution (PRA)and complex spectrum of the output signal of the latticeusing the matrix spectrareceived signal and selecting as the initial approximation of the signal spectrumcomplex-conjugate signal spectrum of the reference antenna, convert the reconstructed PRAin complex two-dimensional angular range, the peaks of the module which are azimuth-elevation bearing of a received signal, make a decision about the detection signal with spread spectrum and determine the reliability of the detection-direction finding using the obtained values of the bearing, PRAand the spectrum of the output signal of the lattice.

Possible special cases of the implementation of the management method:

1. Reconstruction PRAand the spectrum of the output signal of the latticeat each iteration is performed by convolution of the spectra acceptedand reconstructed at the previous iterationsignals to clarify PRAwhere l=1, 2,... is the iteration number, calculate the energy updated PRAwhere (·)^{+}the symbol of Hermite's mate, regulation revised PRAand remember, clarify spectrumconverting each spectral component of the received signalthe beam forming algorithm using as environment reconstructed vector at the current iteration normalized ADFcalculate the energy refined signal spectrumregulation refined signal spectrumand remember, check the convergence of the energies of the refined signal spectrum and PRAwhere ε - a small number, for termination of the iterative process and selection of the reconstructed values PRAand integrated JV is Ctra output grid

This increases the signal-to-noise PRAand the output signal of the latticeif only one adopted the implementation of the input signal and, consequently, provides the necessary conditions for improving the sensitivity and reliability of detection-finding sources, emitting a broad class of signals with spread spectrum, with both temporary and energy reserve.

2. The detection signal with spread spectrum and determining the reliability of its detection-finding exercise by computing samples of the power spectrumthe reconstructed complex spectrum of the output signal of the latticecomparison of samples obtained power spectrumthreshold, the formation of the PRA model of the wave front corresponding to the found azimuth-elevation of the bearing, and its comparison with the reconstructed PRA describing in fact, the adopted wave front, a decision about the presence of a signal with spread spectrum and on the reliability of the detection-direction finding, if the samples of the power spectrumexceeded the threshold, and PRA PRA model and actually received fronts coincide with the set that is completely.

This reduces the abnormally large error detection-finding signals with spread spectrum, with both temporary and energy reserve.

Operations of the method illustrated by the drawing of the block diagram of devices computer-interferometric detection-finding signals with spread spectrum.

Consider a device that implements the proposed method, for example, the detection-direction finding signals with an extended range of sources of electromagnetic waves.

A device that implements the proposed method contains consistently connected the antenna grating 1, the frequency Converter 2, an analog-to-digital Converter (ADC) 3, computer 4 FFT, convolution calculator 5, the device phasing 6, block 7 comparison, measuring the bearing and identity PRA 8, crucial device 9, the control device and the display 10, the output of which is connected to the input of the inverter 2. When the second input unit 9 is connected to the power supply unit detection 11, the first input of which together with the second input of the meter 8 is connected to the output unit 7, and a second input connected to the second output device 6 and to the second input of the transmitter 5. In addition, the output of the transmitter 4 is also connected to the second input device 6, the second output of the transmitter 5 is connected to the second input unit 7 and the output of the transmitter 5 is also connected to a second input of the meter 8.

Antenna array 1 includes N antennas with n=0...N-1. Antenna array can be arbitrary spatial configuration: flat rectangular, flat ring or three-dimensional, in particular, conformal.

The frequency Converter 2 is made with a common local oscillator and with the bandwidth of each channel, corresponding to the width of the spectrum of the signal transmitter. A common local oscillator provides multichannel coherent reception signal, which is a basic condition interferometric (holographic) registration signal transmitters. If the width and the speed of the ADC is sufficient for direct analog-to-digital conversion of the input signals, as, for example, when building the image in the KB range and acoustics, instead of the inverter 2 can be used for frequency selective band-pass filter and amplifier. In other words, the analog part of the device that implements the proposed method can be built on the principle of forward gain. In addition, the Converter 2 connects a single antenna instead of all antennas lattice for periodic calibration of channels external signal source to address their amplitude and phase identical. Possible calibration of the internal signal source. This can be used as a noise generator, the output is d which can also be connected instead of all antennas for periodic calibration of the channels.

The transmitter 4 comprises N processors FFT that allows the simultaneous calculation of complex temporal spectra of signals received by each of the N antennas of the lattice, and thus maximum performance.

The transmitter 5 and the device 6, as well as the transmitter 4, implemented on a multiprocessor scheme. While the transmitter 5 includes N processors, each of which implements a convolution of the spectra of the signal received separate antenna array, and the device 6 includes K processors, each of which implements the algorithm of formation of the beam at the frequency of individual spectral component of the spectrum of the received signal. Multiprocessor implementations of the transmitter device 5 and 6 provide a performance increase, respectively, in N and K times compared to single-processor option.

The device operates as follows.

On a signal from the device 10, the Converter 2 is reconstructed at the desired receive frequency. The signals of the radiation source, time-dependent, are accepted by the antenna grid 1. Adopted by each antenna element in the array 1 is dependent on the time t the signal source radiation x_{n}(t) is transferred to a lower frequency in the Converter 2.

Formed in the Converter 2, the ensemble of signals x_{n}(t) synchronously converted by the ADC 3 in the ensemble digital C the signals x_{
n}(z). Digital signals x_{n}(z) synchronously recorded at a given time interval in the computer 4.

The transmitter 4 is a comprehensive time spectrum of the signal from each antenna, for example, with the use of the FFT algorithmwhere F_{t}{...} operator FFT on time, a k=0,..., K-1 is the number of frequency reference, i.e. the input signal of each antenna is divided into frequency sub-bands.

The result of this operation is a matrix of complex temporal spectra of the received signalsize N×with. After that formed the matrix of the spectra of the received signalstored in the computer 4 and is fed to the input of the transmitter 5.

In the transmitter 5 and the device phasing 6 iterative reconstructed amplitude and phase distribution (PRA)and complex spectrum of the signal at the output of the lattice.

In the transmitter 5 for each l-th iteration of the following steps:

1. Calculates the convolution of the spectra of the received signaland reconstructed at the previous iteration signalto clarify PRA.

The adjusted signals are the PRA describes the distribution of complex amplitudes of the signals, adopted separate antennas, and mathematically is a vector-columnwith. When this signalrepresents the k-th element of the spectrum of the output signal of the lattice, obtained by (l-1)-th iteration in the unit 6. As an initial approximation signal spectrumuse of complex-conjugate signal spectrum of the reference antennastored in the computer 4, that is, when l=1 we havewhen l=2 we findetc.;

2. Calculated energy updated PRA;

3. Normalized adjusted PRA. Normalized ADFenters the device 6 and the meter 8, and the energy of the updated PRA μ^{(l)}enters the Comparer 7, where remembered.

The device 6 for each l-th iteration of the following steps:

1. Clarifies the complex signal spectrum at the output of the lattice. For this purpose, each spectral component of the received and stored in the computer 4 signalis converted by the beam forming algorithm using as fairhouse the vector reconstructed in the computer 5 for the current iteration normalized ADF . The result is a complex signal spectrum at the output of the lattice in the form of a vector-columnwhose elements are the individual spectral components of the output signal of the lattice, calculated by the formulawhere- the n-th element of the PRA received the GFC 5 l-th iteration.

2. Calculated energy refined signal spectrum

3. Standardized refined signal spectrum

After that refined signal spectrumenters the transmitter 5 and the block 11, and the energy of the refined signal spectrum ν^{(l)}enters the Comparer 7, where remembered.

In other words, for each l-th iteration in the unit 6 each component of the spectrum received by each antenna array signal is multiplied by a complex environment function in the form of reconstructed PRA, which contains required for phasing spatial phase difference of the signals received by the antennas of the lattice, then the adjusted signals from all antennas are formed. This improved output signal of the lattice then, in turn, is used in the transmitter 5 for improving the signal/noise signal Pras, etc.

It is clear that after coherent is the first addition of the signals of the individual antennas is a resultant signal, which is the output signal of the lattice with respect to the signal/noise ratio is N times greater than the signal-to-noise ratio of the signal received separate antenna. This is the physical meaning of the iterative accumulation of the useful signal against the background noise with alternate conversion signal in the frequency domain (signal PRA) and in the spatial domain (frequency spectrum of the output signal of the lattice). It should be emphasized that the accumulation of the useful signal against the background noise is when there is only one input to the implementation of the useful signal, which is of particular value when the detection-direction finding short signals with spread spectrum, i.e. signals with both temporary and energy reserve.

Unit 7 is a comparison matching energies refined signal spectrum and PRAwhere ε - small number. If the specified condition is met, a signal is generated to stop the iterative process that goes into the meter 8 and the block 11.

At the signal the termination of the iterative process in the meter 8 is obtained at the current iteration PRAreceived from the transmitter 5, is fixed as the reconstructed value PRAand in block 11 obtained in the current iteration of integrated the th range of the output signal of the lattice received from the device 6 is selected as the reconstructed values of the complex spectrum of the output signal of the lattice.

The procedure described for reconstruction of the output signal of the latticeand PRAare fundamental from the point of view of energy efficiency discovery-finding, as they provide a coherent accumulation of the useful output signal of the lattice and the corresponding PRA on the background noise when there is only one implementation of the input signal. This provides the maximum signal-to-noise ratio when compressing the spectrum of a signal of unknown form. In other words, it brings the quality of the matched filtering signal of unknown shape to the maximum achievable quality matched filtering signal when fully known reference signal.

In addition, the measuring device 8 performs the following steps:

1. From the reconstructed PRAdetermined by comprehensive two-dimensional angular range, the maximum module which is azimuth-elevation bearing of a received signal.

The angular range can be obtained well-known classical algorithm for beamforming, as described in paragraph 9 h is page 3 of this specification, or algorithms that provide high resolution, for example, algorithms based on the principles of regularization [3];

2. Formed PRA model of the wave front corresponding to the found azimuth-elevation of the bearing, in the form ofwhere- model the complex amplitude of the flat wave front, the wave number, r_{n}that α_{n}, z_{n}cylindrical - coordinate of the n-th antenna element, α_{0}and β_{0}- found the azimuth and elevation bearings;

3. Formed PRA model wavefrontcompared with the reconstructed PRAdescribing in fact, the adopted wave front, according to the following formula:.

When there is a match PRA PRA model and actually received fronts with a given accuracy, that is, when W≤W_{0}where W_{0}the threshold value is formed corresponding to the signal received at the first input of a casting device 9. The threshold value W_{0}is selected based on minimizing the probability of false alarm.

In block 11 after fixing the reconstructed values of the complex spectrum of the output signal of the lattice perform the following steps:

1. Calculated timing of the power spectrumthe reconstructed complex spectrum of the output signal of the lattice;

2. Compare the readings obtained power spectrumthreshold and when the threshold is exceeded is formed corresponding to the signal received at the second input of the casting device 9. The threshold value is selected based on minimizing the probability of false alarm.

In the device 9 when the first and second input signals received from the measuring device 8 and the block 11 and the corresponding fact that the samples of the power spectrumexceeded the threshold, and PRA PRA model and actually received fronts coincided with a given accuracy, the decision about the detection signal with spread spectrum and on the reliability of the detection-direction finding. After deciding on the reliability of the detection-direction finding signal spread spectrum corresponding to the signal enters the device 10, which displays to the operator and enters the external system. After that, the device 10 generates a signal adjustment on another frequency, and is described operations are repeated.

Thus, the method of computer-interferometric detection-ilangovan the I signal with the spread spectrum improves the efficiency of discovery-finding sources, emitting a broad class of signals with spread spectrum, with both temporary and energy reserve, due to:

1. Use the most General criterion for the validity of the detection-direction finding, which reduces the abnormally large error detection-finding signals with spread spectrum, characterized by a low spectral power density.

As a sign of authenticity detection-finding along with traditional energy criterion used criterion of the form of the wave front of the received signal, providing verification of the degree of closeness of the form of the adopted model and the wave fronts;

2. Solve the "reference signal" compression spectrum signal with a low spectral power density of unknown form that approaches the quality of the matched filtering at low signal to noise to the maximum possible quality for the case of completely known reference signal.

The proposed method outperforms the method prototype for the ultimate sensitivity in the detection of the direction finding of radio signals with spread spectrum in N times. This is because the extreme sensitivity of the prototype method is limited by the signal-to-noise ratio at the output of one antenna grid and the proposed method - a signal/noise exists, the public is less noisy reconstructed output signal of the lattice,
obtained by coherent addition of the signals from the outputs of all N antennas of the lattice. Given that in practice the number of antennas in the composition of the grating may vary within wide limits N=5÷10^{3}received the value of the gain=5÷10^{3}.

Sources of information

1. US patent 5955993, CL G 01 S 5/02, 1999

2. RU, patent 2158002, CL 7 G 01 S 3/14, 5/04, 2000

3. Shevchenko NR. Estimation of the angular position of sources of coherent signals on the basis of the regularization methods // Radiotekhnika. - 2003. No. 9. - P.3-10.

1. The method of computer-interferometric detection-finding signals with spread spectrum, including coherent reception signal grid antenna at a given frequency, a synchronous transformation of the ensemble of the antenna-received signals into digital signals and their simultaneous registration at a given time interval, the conversion of digital signals in a complex temporal spectra of the signal from each antenna, storing the matrix spectra of the converted signals, obtaining a complex conjugate of the spectrum of the output signal grid antennas coherent addition of the signals from each antenna, receiving the amplitude-phase distribution of the signal received by the antennas of the lattice by a convolution of the complex-conjugate of the spectrum of the reference antenna and the spectra of the other antennas of the lattice in the specified band frequency otlichuy is the, the iterative reconstructed amplitude and phase distribution (PRA) and the integrated spectrum of the output signal of the lattice, using the matrix spectra of the converted signals, and selecting as the initial approximation of the complex spectrum of the output signal of the lattice of the complex signal spectrum of the reference antenna, convert the reconstructed PRA in complex two-dimensional angular range, the peaks of the module which are azimuth-elevation bearing of a received signal, performs signal with spread spectrum and determining the reliability of its detection-finding by calculating the power spectrum of the reconstructed complex spectrum of the output signal of the lattice and compare the obtained power spectrum with a threshold, the formation of the PRA model of the wave front corresponding to the azimuthal found-elevation of the bearing, and its comparison with the reconstructed PRA describing in fact, the adopted wave front, a decision about the presence of a signal with spread spectrum and on the reliability of the detection-direction finding, if the power spectrum exceeds the threshold, and PRA PRA model and actually received fronts coincide with a given accuracy.

2. The method according to claim 1, characterized in that the reconstruction of the PRA and the spectrum of the output signal of the lattice at each iteration, perform p is the convolution of the spectra of the received and reconstructed in the previous iteration of the signals for the specification of ADF, calculate the energy updated PRA, rationing updated PRA and remember, clarify the spectrum of the output signal of the lattice transformation of each spectral component of the received transformed signal using as the environment vector is reconstructed at the previous iteration normalized ADF, calculate the energy refined signal spectrum, regulation refined signal spectrum and its memorization, test matches energies refined signal spectrum and Pras for termination of the iterative process and selection of the reconstructed values of PRA and complex spectrum of the output signal of the lattice.

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1 dwg

FIELD: finding of azimuth of radio emission source (RES) in wide-base direction finding systems.

SUBSTANCE: angle of azimuth of RES is measured with high degree of precision due to elimination of methodical errors in direction finding caused by linearization of model electromagnet wave propagation wave front. As surface of RES location the plane is used which has RES line of location which has to be crossing of two hyperbolic surfaces of location corresponding to difference-time measurement. Method of RES direction finding is based upon receiving its signal by three aerials disposed randomly, measuring of two time differences of RES signal receiving by aerials which form measuring bases and subsequent processing of results of measurement to calculate values of RES angles of azimuth and coordinates of point through which the RES axis of sight passes. The data received are represented in suitable form. Device for realization of the method has three aerials disposed at vertexes of random triangle, two units for measuring time difference of signal receiving, computing unit and indication unit. Output of common aerial of measuring bases is connected with second inputs of time difference meters which receive signals from outputs of the rest aerials. Measured values of time differences enter inputs of computing unit which calculates values of RES angle of azimuth and coordinates of point through which the RES axis of sight passes. Data received from output of computing analyzing unit enter indication unit intended for those data representation.

EFFECT: widened operational capabilities of direction finder.

2 cl, 7 dwg

FIELD: passive systems of detection of radar signals, in particular, remote antenna devices, applicable at equipment of floating facilities of various purpose.

SUBSTANCE: the radar signal detection system has a series-connected receiving antenna, input device, in which the received signals are divided into two frequency channels and amplified by microwave, receiving device including a unit of detectors of amplifiers of pulse and continuous signals, as well as two units of signal processing connected by means of an interface trunk of the series channel to the device of secondary processing, control and representation made on the basis of a computer.

EFFECT: expanded functional potentialities of the system that is attained due to the fact that the radar signal detection system has a series-connected receiving antenna, etc.

7 dwg

FIELD: radio engineering.

SUBSTANCE: proposed method and device can be used for measuring difference in signal arrival time from spaced receiving positions and in its reception frequency dispensing with a priori information about signal structure and about modulating message. Proposed device has two signal receiving means, device for defining arguments of signal two-dimensional digital cross-correlation function maximum , two analog-to-digital converters, three fast Fourier transform processors, cross-spectrum computer, and arithmetical unit. Proposed method depends on calculation of two-dimensional cross-correlation function using inverse fast Fourier transform of plurality of cross-spectrums, spectrum of one of signals being transformed for generating mentioned plurality of cross-spectrums by way of re-determining index variables.

EFFECT: enhanced computing efficiency, eliminated discreteness error.

3 cl, 1 dwg

FIELD: radio engineering.

SUBSTANCE: proposed method and device can be used for measuring difference in signal arrival time from spaced receiving positions and in its reception frequency dispensing with a priori information about signal structure and about modulating message. Proposed device has two signal receiving means, device for defining arguments of signal two-dimensional digital cross-correlation function maximum , two analog-to-digital converters, three fast Fourier transform processors, cross-spectrum computer, and arithmetical unit. Proposed method depends on calculation of two-dimensional cross-correlation function using inverse fast Fourier transform of plurality of cross-spectrums, spectrum of one of signals being transformed for generating mentioned plurality of cross-spectrums by way of re-determining index variables.

EFFECT: enhanced computing efficiency, eliminated discreteness error.

3 cl, 1 dwg

FIELD: passive systems of detection of radar signals, in particular, remote antenna devices, applicable at equipment of floating facilities of various purpose.

SUBSTANCE: the radar signal detection system has a series-connected receiving antenna, input device, in which the received signals are divided into two frequency channels and amplified by microwave, receiving device including a unit of detectors of amplifiers of pulse and continuous signals, as well as two units of signal processing connected by means of an interface trunk of the series channel to the device of secondary processing, control and representation made on the basis of a computer.

EFFECT: expanded functional potentialities of the system that is attained due to the fact that the radar signal detection system has a series-connected receiving antenna, etc.

7 dwg

FIELD: finding of azimuth of radio emission source (RES) in wide-base direction finding systems.

SUBSTANCE: angle of azimuth of RES is measured with high degree of precision due to elimination of methodical errors in direction finding caused by linearization of model electromagnet wave propagation wave front. As surface of RES location the plane is used which has RES line of location which has to be crossing of two hyperbolic surfaces of location corresponding to difference-time measurement. Method of RES direction finding is based upon receiving its signal by three aerials disposed randomly, measuring of two time differences of RES signal receiving by aerials which form measuring bases and subsequent processing of results of measurement to calculate values of RES angles of azimuth and coordinates of point through which the RES axis of sight passes. The data received are represented in suitable form. Device for realization of the method has three aerials disposed at vertexes of random triangle, two units for measuring time difference of signal receiving, computing unit and indication unit. Output of common aerial of measuring bases is connected with second inputs of time difference meters which receive signals from outputs of the rest aerials. Measured values of time differences enter inputs of computing unit which calculates values of RES angle of azimuth and coordinates of point through which the RES axis of sight passes. Data received from output of computing analyzing unit enter indication unit intended for those data representation.

EFFECT: widened operational capabilities of direction finder.

2 cl, 7 dwg

FIELD: radio engineering.

SUBSTANCE: device has receiver, distance converter, synchronizer, azimuth and location angle transducer unit, indicator unit, TV distance transducer, TV coordinator unit, secondary processing unit and unit composed of two adders.

EFFECT: high accuracy in determining angular coordinates in optical visibility zone.

1 dwg

FIELD: the invention refers to measuring technique and may be used for passive detection and direction finding of communications systems, location and control, using complex signals.

SUBSTANCE: the technical result is achieved due to using of the reliability criterion of detection-direction finding and solution of the problem of the "reference signal" at compression of signal spectrum with low spectral power density of an unknown form. That approached quality of matched filtering at low signal-to-noise ratios to maximum attainable quality for the completely known reference signal. At that sensitivity of detection and direction finding of signals with extended spectrum increases in relation to the prototype in N times where N - a number of antennas of the receiving array.

EFFECT: increases effectiveness of detection-direction finding of the sources radiating broad class signals with extended spectrum of unknown form having energy and time secretiveness.

2 cl, 1 dwg