Spatial filtering of signals with spectrum overlapping

The paper discusses the features of the application of the ESPRIT method, which provides direction finding of a variety of radio sources with minimal computational costs, including in real time. To be able to use ESPRIT, antenna arrays are required that have the property of shift invariance, and for practical implementation, antenna arrays are required that allow you to form estimates of the directions of arrival of the largest number of signals that overlap in the spectrum, with a minimum number of antennas and reception channels. The aim of the work is to analyze the influence of the antenna array configuration on the features of ESPRIT application for different antenna array with the same number of antennas. A comparative qualitative analysis of the properties and features compared to the MUSIC method is presented. The algorithms developed by the authors for processing multichannel data received by angle and square antenna arrays are presented. It is shown analytically that when using a corner antenna array, it is necessary to take into account the possible presence of signals from indistinguishable-mirror directions of arrival. With a square antenna array, there are no mirror directions of arrival of different signals, which simplifies the implementation of the algorithm. It is shown analytically and by simulation modeling that the configuration of a square antenna array allows to increase the number of simultaneously tracked signals that overlap in the spectrum, compared to a corner antenna array with the same number of antennas.

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Interval and Point Direction Finding of Radio Emission Sources for Broadband Radio Monitoring

Shevchenko

Malyshev

Sokolov

et al. 2020

Izv. vysš. učebn. zaved. Ross., Radioèlektron.

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Introduction. The point and interval direction finding of radio sources is used for broadband radio monitoring in the frequency domain. The initial data for broadband radio monitoring are spectral samples obtained from an M-element antenna array by multichannel reception. Point direction finding is based on a grouping of point estimates of azimuth and elevation angle formed for each frequency sample, in which signal components are detected. A single estimate of azimuth and elevation angle is made based on the grouped point estimates in the range of neighbouring frequency samples. Interval direction finding is based on the azimuth and elevation estimates formed entirely from the interval of adjacent frequency samples, in which the signal components are found, and the subsequent refinement of frequency sample interval boundaries for each radio source in multisignal mode by spatial selection methods. Point direction finding is mainly implemented in single-signal mode in modern operating broadband radio monitoring complexes, while the multi-signal mode based on MUSIC or ESPRIT is implemented in the time domain in a narrow frequency band.Aim. Development and investigation of methods for point and interval direction finding in multi-signal mode, as well as development of recommendations for their practical application in multi-signal and single-signal modes.Methods. Multi-signal mode for point and interval direction finding was implemented using MUSIC and ESPRIT. An experimental study of the developed direction finding methods in single-signal and multi-signal (on ESPRIT) modes with overlapping signal spectra was carried out by processing the recorded real signals. The records were made using a seven-channel coherent synchronous receiver connected to a seven-element 60° angle antenna array.Results. The research results are presented by frequency-azimuth panoramas and estimates of the amplitude spectra of separated signals and direction finding accuracy indicators.Conclusion. It was experimentally demonstrated that point direction finding should be used in single-signal mode provided the absence of information on the number of signals in the observed data. Interval direction finding is recom-mended in multi-signal mode for improving the accuracy and real-time feasibility of the process.

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Spatial filtering of signals with spectrum overlapping

Cited by 4 publications

References 3 publications

Application of MUSIC and ESPRIT Methods in Adaptive Smart Antennas

Application of MUSIC and ESPRIT Methods in Adaptive Smart Antennas

Features of application of ESPRIT method for different configurations of antenna arrays

Interval and Point Direction Finding of Radio Emission Sources for Broadband Radio Monitoring

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