An Analysis of Signal Processing Systems Operating in Clutter Environment

  • Дмитрий [Dmitriy] Иванович [I.] Попов [Popov]
Keywords: adaptive filters, Doppler phase, correlation coefficients, signal processing, clutter, estimation accuracy, likelihood function

Abstract

An adaptive quasi-optimal "band-stop filter – multichannel filter" system is analyzed. Adaptation of such system opens the possibility of taking into account the nature of noise represented by an additive mixture of correlated and uncorrelated components corresponding to clutter and the receiver’s own noise. A likelihood function establishing the dependence of the processing system input samples on the clutter correlation matrix is introduced, using which the accuracy of estimating the unknown clutter parameters, namely, the interperiod correlation coefficients and the Doppler phase shift can be analyzed. Formulas establishing a relation between the accuracy of estimating the unknown clutter parameters, the amount of training sample, and spectral correlation properties of the clutter are obtained proceeding from the Cramer-Rao bound. The calculation results were found to be in fairly close agreement with the empirical results obtained from statistical simulation of the relevant evaluation algorithms on a PC; this agreement has confirmed the asymptotic efficiency of the maximum likelihood estimates used in adapting the processing systems. The processing system efficiency analysis carried out by using the asymptotic properties of the maximum likelihood estimates establishes a relationship between the suppression of clutter in the system and the errors of adapting the weighting coefficients of the adaptive band-stop and multi-channel filters to the unknown clutter parameters. In so doing, a linear approximation of the dependencies of weighting coefficients from the interperiod correlation coefficient estimate was used under the assumption that the form of the clutter correlation function’s envelope is known. The relationships obtained from the performed analysis allow the user to select the training sample amount depending on the preset adaptation loss value, spectral correlation properties of clutter, and processing system structure.

Information about author

Дмитрий [Dmitriy] Иванович [I.] Попов [Popov]

Science degree:

Dr.Sci. (Techn.)

Workplace

Radio engineering systems Dept., Ryazan State Radio Engineering University

Occupation

professor

References

1. Справочник по радиолокации. Кн. 1 / под ред. М.И. Сколника. М.: Техносфера, 2014.

2. Richards M.A., Scheer J.A., Holm W.A. Principles of Modern Radar: Basic Principles. N.-Y.: SciTech Publishing, IET, Edison, 2010.

3. Попов Д.И. Оптимальная обработка многочастотных сигналов // Известия вузов России. Радиоэлектроника. 2013. Вып. 1. С. 32—39.

4. Попов Д.И. Оптимизация систем обработки сигналов на фоне пассивных помех // Вестник МЭИ. 2015. № 4. С. 75—78.

5. Попов Д.И. Адаптация систем обработки сигналов на фоне пассивных помех // Вестник МЭИ. 2016. № 3. С. 78—83.

6. Репин В.Г., Тартаковский Г.П. Статистический синтез при априорной неопределенности и адаптация информационных систем. М.: Сов. радио, 1977.

7. Крамер Г. Математические методы статистики. М.: Мир, 1975.
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Для цитирования: Попов Д.И. Анализ систем обработки сигналов на фоне пассивных помех // Вестник МЭИ. 2017. № 5. С. 78—83. DOI: 10.24160/1993-6982-2017-5-78-83.
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1. Spravochnik po Radiolokatsii. Kn. 1 / Pod Red. M.I. Skolnika. M.: Tekhnosfera, 2014. (in Russian).

2. Richards M.A., Scheer J.A., Holm W.A. Principles of Modern Radar: Basic Principles. N.-Y.: SciTech Publishing, IET, Edison, 2010.

3. Popov D.I. Optimal'naya Obrabotka Mnogochastotnyh Signalov. Izvestiya Vuzov Rossii. Radioelektronika. 2013;1:32—39. (in Russian).

4. Popov D.I. Optimizatsiya Sistem Obrabotki Signalov na Fone Passivnyh Pomekh. Vestnik MPEI. 2015;4:75—78. (in Russian).

5. Popov D.I. Adaptatsiya Sistem Obrabotki Signalov na Fone Passivnyh Pomekh. Vestnik MPEI. 2016;3:78—83. (in Russian).

6. Repin V.G., Tartakovskiy G.P. Statisticheskiy Sintez pri Apriornoy Neopredelennosti i Adaptatsiya Informatsionnyh Sistem. M.: Sov. Radio, 1977. (in Russian).

7. Kramer G. Matematicheskie Metody Statistiki. M.: Mir, 1975. (in Russian).
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For citation: Popov D.I. An Analysis of Signal Processing Systems Operating in Clutter Environment. MPEI Vestnik. 2017; 4:78—83. (in Russian). DOI: 10.24160/1993-6982-2017-5-78-83.
Published
2019-01-18
Section
Radio Engineering and Communications (05.12.00)