ANALYSIS OF THE EFFICIENCY OF THE PASSIVE HINDRANCES’ SUPPRESSION WITH RECTOR FILTERS 

Popov Dmitriy Ivanovich, Doctor of engineering sciences, professor, sub-department of radio engineering systems, Ryazan State Radio Engineering University (59/1 Gagarina street, Ryazan, Russia), adop@mail.ru 

621.391:621.396.96 

10.21685/2072-3059-2018-2-8 

Background. The object of the research are rejection filters (RF) of recursive and non-recursive type, as well as a cascade connection of recursive and nonrecursive links. The aim of the work is a comparative analysis of different RFs depending on the shape and width of the clutter spectrum.
Materials and methods. Criteria for the efficiency of clutter rejection by filters of recursive and non-recursive type are introduced depending on the form of the spectral density of the clutter. The criteria and methods for the optimization of rejection filters are considered for a priori uncertainty of the parameters and the shape of the spectral density of the clutter.
Results. Numerical results of a comparative analysis of the RF efficiency of different structures on the imposed criteria under the influence of clutter with various spectral density approximations differing from each other in the rate of spectrum decay are presented.
Conclusions. The Gaussian approximation of the spectral density of clutter corresponds to the most effective rejection, which is due to the features of the shape of the spectrum. The Gaussian approximation is characterized by the greatest sensitivity to the parameters of the rejection filters when analyzing their efficiency, which makes it expedient to use it in a comparative analysis of different types of rejection filters. 

spectral density approximation, Gaussian spectrum, Butterworth spectrum, rejection efficiency criterion, correlation matrix, optimization methods, non-recursive filter, clutter, recursive filter, comparative analysis of RF efficiency 

1. Radar Handbook. Еd. by M. I. Skolnik. 3rd ed. New York: McGraw–Hill, 2008, 1352 p.
2. Richards M. A., Scheer J. A., Holm W. A. (Eds.) Principles of Modern Radar: Basic Principles. New York: SciTech Publishing, IET, Edison, 2010, 924 p.
3. Popov D. I. Statisticheskaya teoriya radiotekhnicheskikh sistem: ucheb. posobie [Statistical theory of radio systems: tutorials]. Ryazan: Izd-vo RGRTU, 2011, 80 p.
4. Principles of Modern Radar: Advanced Techniques. Eds. W. L. Melvin, J. A. Scheer. New York: SciTech Publishing, IET, Edison, 2013, 846 p.
5. Richards M. A. Fundamentals of Radar Signal Processing, Second Edition. New York: McGraw–Hill Education, 2014, 618 p.
6. Kuz'min S. Z. Tsifrovaya radiolokatsiya. Vvedenie v teoriyu [Digital radar. Introduction to theory]. Kiev: KViTs, 2000, 428 p.
7. Tsifrovaya obrabotka signalov v mnogofunktsional'nykh radiolokatorakh. Metody. Algoritmy. Apparatura: monografiya [Digital signal processing in multi-function radars. Methods. Algorithms. Equipment: monograph]. Ed. by G. V. Zaytsev. Moscow: Radiotekhnika, 2015, 376 p.
8. Lozovskiy I. F. Tsifrovaya obrabotka signalov v RLS obzora: monografiya [Digital signal processing in the radar review: monograph]. Novosibirsk: Izd-vo NGTU, 2016, 270 p.
9. Uayld D. Dzh. Metody poiska ekstremuma: per. s angl. [Extremum search methods: translated from english]. Moscow: Nauka, 1967, 268 p.
10. Gantmakher F. R. Teoriya matrits [Matrix theory]. Moscow: Nauka, 1988, 552 p.
11. Khimmel'blau D. Prikladnoe nelineynoe programmirovanie: per. s angl. [Applied nonlinear programming: translated from english]. Moscow: Mir, 1975, 536 p.