APPLICATION OF SPACE-TIME ADAPTIVE SIGNAL PROCESSING IN RADIOLOCATION

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Anna Ślesicka
Błażej Ślesicki
Jacek Iwański
Andrzej Truskowski

Abstract

We are currently witnessing a war in Ukraine and in Israel. Analyzing the modus operandi of the warring parties, it should be strongly emphasized that gaining an information advantage on the modern battlefield is a major factor in achieving success in a planned and subsequently conducted military operation. The use of radio-electronic systems, such as radar, for searching, tracking, intercepting and analyzing data from the surrounding reality provides such an opportunity, allowing to assess the potential of the opponent, and often to predict and anticipate his intention, thus ensuring the effective realization of one's own goals. In addition, by equipping radar with state-of-the-art signal processing techniques, the above becomes possible. One of the most modern techniques used in radiolocation is space-time adaptive signal processing technology. The purpose of this article was to analyze space-time adaptive signal processing technology as applied to an airborne radar mounted on a flying platform.  The authors applied an analysis of the available literature and carried out computer simulations. In conclusion, the important role played by space-time adaptive signal processing of radar signals on today's battlefield was pointed out.

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How to Cite
Ślesicka, A., Ślesicki, B., Iwański, J., & Truskowski, A. (2024). APPLICATION OF SPACE-TIME ADAPTIVE SIGNAL PROCESSING IN RADIOLOCATION. Aviation and Security Issues, 4(2). https://doi.org/10.55676/asi.v4i2.83
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Articles

References

J. R. Guerci, Space-Time Adaptive Processing for Radar, Norwood, Artech House, 2014, s.32.

I. D. Reed, J. D. Mallett, L. E. Brennan, Rapid convergence rate in adaptive arrays, IEEE Trans. Aerosp. Electron. Syst., vol. 10, no. 6, 1974, s. 853–863.

R. Klemm, Space-time Adaptive Processing: Principles and Applications, London: The Institution of Electrical Engineers, 1998, s.14.

W. L. Melvin, A STAP overview, IEEE Transactions on Aerospace and Electronics Systems Magazine, tom 19, numer 1, 2004, s. 19–53.

R.S. Adve, T.B. Hale, M. Wicks, A Two Stage Hybrid Space-Time Adaptive Processing Algorithm, Proc. of the 1999 IEEE Radar Conf., 1999, s. 279-284.

K. Sun, Y. Meng, Y. Wang, X. Wang, Direct data domain STAP using sparse representation of clutter spectrum, Signal Processing, vol. 91, no. 9, 2011, s. 2222–2236.

H. Jeon, Y. Chung, W. Chung, Clutter covariance matrix estimation using weight vectors in Knowledge-aided STAP, IET Electronics Letters, tom 53, numer 8, 2017, s. 560.

W. Zang, Reduced dimension STAP based on sparse recovery in heterogeneous clutter environments, IEEE Trans. on Aerospace and Electronics Systems, vol. 56, no. 1, 2020, s. 785.

A. Ślesicka, B. Ślesicki, A. Kawalec, A new statistical method for determining the clutter covariance matrix in spatial-temporal adaptive processing of a radar signal, Sensors, tom 23, numer 9, 2023, s. 4280.

A. Ślesicka, A. Kawalec,, An application of the orthogonal matching pursuit algorithm in space-time adaptive processing, Sensors, tom 20, numer 12, 2020, s. 3468.