Results of experimental studies for small aircrafts classification attributes in the hide multistatic radars

Г.Г. Беляев; А.А. Макеев; Ю.Н. Чернятьев; В.Н. Шевченко

Results of experimental studies for small aircrafts classification attributes in the hide multistatic radars

Г.Г. Беляев¹, А.А. Макеев², Ю.Н. Чернятьев³, В.Н. Шевченко⁴

research article Pages: 78-87

^1,2 аспирант, НИИ Градиент, руководитель сектора, АО «КБ «Связь» (г. Ростов-на-Дону)
³ ген. директор АО «КБ «Связь» (г. Ростов-на-Дону)
⁴ д.т.н., профессор, начальник НТЦ, АО «КБ «Связь» (г. Ростов-на-Дону)

Keywords: Doppler echo-signal spectrum structure and features of Doppler echo-signal the multistatic radar systems propellers aircrafts as targets

Abstract

The study of classification characteristics for small aircrafts is the one of major problems required the priority solutions to make passive radar-s systems.

The echo-s classification of the small moving objects based on its amplitude characteristics and range images is difficult.

It-s informed that two groups of classification characteristics based on analysis of small and large aircraft-s echoes and mathematics - simulation method are studied. The first group of characteristics uses the features of fine structure for the Doppler major echo from the aircraft body-s translation motion. The second group is the unique characteristics of the micro-Doppler echo-s structure by the propeller-s modulation for the each object-s type.

It-s shown that the exploitation of two groups of classification characteristics and two-polarization receiver can highly increase the ef-fectiveness of the moving object-s classification for a wide range of distances.

How to cite

Беляев Г.Г., Макеев А.А., Чернятьев Ю.Н., Шевченко В.Н. Результаты экспериментальных исследований признаков классификации малоразмерных воздушных объектов в мультистатических системах скрытной радиолокации // Радиотехника. 2016. № 1. С. 78–87.

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Full text, PDF 350 ₽

[1] Colone F., O-Hagan D.W., Lombardo P., Baker C.J. A multistage processing algorithm for disturbance removal and target detection in passive bistatic radar // IEEE Trans. on AES. 2009. V. 45. № 2. P. 698−722.

[2] Bongioanni C., Colone F., Martelli T., R. D-Angeli, Lombardo P. Exploiting Polarimetric Diversity to Mitigate the Effect of Interferences in FM-based Passive Radar // Proc. 11th International Radar Symposium (IRS). 2010. P. 1−4.

[3] Parkhomenko N.G., Donets I.V., Shevchenko V.N. Combined detection and spatial localization of several targets by radars with transmitters of opportunity // Proc. 13th International Radar Symposium IRS-2012. Warsaw, Poland. 23−25 May 2012. P. 73−75.

[4] Parkhomenko N.G., Peretjatko A.A., Rejjzenkind JA.A., Onishhenko V.S., SHevchenko V.N. Ocenka parametrov signalov v passivnojj radiolokacii s postoronnim podsvetom variacionnym metodom // EHlektromagnitnye volny i ehlektronnye sistemy. 2012. T. 17. № 6. S. 97.

[5] Hack D.E., Patton L.K., Kerrick A.D. and Saville M.A. Direct Cartesian Detection, Localization, and De-Ghosting for Passive Multistatic Radar // Proc. IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM). 2012. P. 45−48.

[6] Gashinova M., Daniel L., Hoare E., Sizov V., Kabakchev K., Cherniakov M. Signal characterization and processing in the forward scatter mode of bistatic passive coherent location systems // EURASIP Journal on Advances in Signal Processing. 2013.

[7] Stinco P., Greco M., Gini F.andM. La Manna Multistatic Target Recognition in Real Operational Scenarios // Proc. IEEERadarConference (RADAR). 2012. P. 0354−0359.

[8] Parkhomenko N.G., Peretjatko A.A., Rejjzenkind JA.A., Onishhenko V.S., SHevchenko V.N. Primenenie variacionnogo metoda k zadache ocenki parametrov signalov v passivnojj radiolokacii s postoronnim podsvetom // Avtometrija. 2014. T. 50. № 1. S. 60−65.

[9] CHernjatev JU.N., Donec I.V., Onishhenko V.S., Rejjzenkind JA.A., SHevchenko V.N. Metod sinteza chastotno-vremennykh radioizobrazhenijj v neizluchajushhikh radarakh // Izvestija VUZov. Radiofizika. 2015 (prinjata k pechati).

[10] Pat. RU 2 546 331 S2. MPK: G01S 13/02 (2006.01). Sposob poiska malorazmernykh podvizhnykh obektov / CHernjatev JU.N. (RF). SHevchenko V.N. (RF). Opublikovano 10.04.2015g. Bjul. № 10.

[11] Pat. RU 2 546 330 S1. MPK: G01S 5/02 (2010.01). Sposob poljarizacionno-chuvstvitelnogo radiokontrolja podvizhnykh obektov / CHernjatev JU.N. (RF), Rejjzenkind JA.A. (RF), SHevchenko V.N. (RF). Opublikovano 10.04.2015g. Bjul. № 10.

[12] Pat. RU 2 546 329 S1. MPK: G01S 5/00 (2006.01). Sposob poljarizacionno-chuvstvitelnogo obnaruzhenija podvizhnykh obektov / CHernjatev JU.N. (RF), Rejjzenkind JA.A. (RF), SHevchenko V.N. (RF). Opublikovano: 10.04.2015g. Bjul. № 10.

[13] Chen, F. Li, S. Ho, Wechsler H. Micro-Doppler Effect in Radar: Phenomenon, Model, and Simulation Study / IEEE Transactions on aerospace and electronic systems. 2006. V. 42. №. 1. P. 1−21.

[14] Chen V.The Micro-Doppler Effect in Radar. London: ArtechHouse. 2011.

[15] Clemente, Balleri A., Woodbridge K., Soraghan J. Developments in target micro-Doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar // EURASIP Journal on Advances in Signal Processing. 2013. № 1. P. 47.

[16] Maasdorp F.D.V., Cilliers J.E., Inggs M.R., Tong C. Simulation and measurement of propeller modulation using FM broadcast band commensal radar // Electronics Letters. 7 November 2013. V. 49. № 23. P. 1481−1482.

[17] J.J. M de Wit, Harmanny R.I.A., Premel-Cabic G. Micro-Doppler analysis of small UAVs // Radar Conference (EuRAD). 2012.European. October 2012. P. 210−213.

[18] Molchanov P., Egiazarian K., Astola J., Harmanny R.I.A., J.J. M. de Wit. Classification of small UAVs and birds by micro-Doppler signatures // Proc. 10th European Radar Conference. 9−11 October 2013. Nuremberg. Germany. P. 172−175.

[19] Anufriev I., Smirnov A., Smirnova E.MATLAB 7.0. V podlinnike. SPb.: BKHV-Peterburg. 2005.

[20] Levin B.R. Teoreticheskie osnovy statisticheskojj radiotekhniki. V 3-kh knigakh. Kn. 2. Izd. 2‑e. M.: Sov. radio. 1975. 392 s.

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