ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Single data set-STAP algorithm in heterogeneous environment
Received date: 2015-01-15
Revised date: 2015-04-08
Online published: 2015-04-14
Supported by
National Natural Science Foundation of China (61301285); Natural Science Basic Research Plan in Shaanxi Province of China (2015JM6314)
This paper describes the single data set space-time adaptive processing (SDS-STAP) algorithms for airborne radar in heterogeneous environment. For the problems of the present SDS-STAP algorithms, a two-dimensional amplitude and phase estimation (2D-APES) algorithm is proposed based on sliding windows in space-time of the cell under test. The proposed algorithm utilizes the statistical information of the echo, not only broadens the restrictions for the selection of the element and pluse numbers of the radar system, but also suppresses the clutter and the interferences of the cell under test effectively; what's more, it has a low computational complexity. Finally, simulated and real test data verify the validity of the proposed algorithm.
CHEN Zhanye , ZHOU Yu , ZHANG Linrang , ZHAO Jian , GU Yabin . Single data set-STAP algorithm in heterogeneous environment[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015 , 36(12) : 3938 -3946 . DOI: 10.7527/S1000-6893.2015.0101
[1] Guerci J R. Space-time adaptive processing for radar[M]. Norwood:Artech House, 2003:51-75.
[2] Melvin W L. A STAP overview[J]. IEEE Aerospace and Electronic Systems Magazine, 2004, 19(1):19-35.
[3] Guerci J R, Bergin J S. Principal components, covariance matrix tapers, and the subspace leakage problem[J]. IEEE Transactions on Aerospace and Electronics Systems, 2002, 38(1):152-162.
[4] Bao Z, Liao G S, Wu R B, et al. 2-D temproal-spatial adaptive clutter suppression for phased array airborne radars[J]. Acta Electronica Sinica, 1993, 21(9):1-7(in Chinese).保铮,廖桂生,吴仁彪,等.相控阵机载雷达杂波抑制的时空二维自适应滤波[J].电子学报, 1993, 21(9):1-7.
[5] Dipietro R C. Extended factored space-time processing for airborne radar systems[C]//Proceeding of the 26th Asilomar Conference on Signals, Systems, and Computing, 1992:425-430.
[6] Aboutanios E, Mulgrew B. Hybrid detection approach for STAP in heterogeneous clutter[J]. IEEE Transactions on Aerospace and Electronics Systems, 2010, 46(3):1021-1033.
[7] Aboutanios E, Mulgrew B. Evaluation of the single and two data set STAP detection algorithms using measured data[C]//2007 IEEE International Geoscience and Remote Sensing Symposium. Piscataway, NJ:IEEE Press, 2007:494-498.
[8] Aubry A, Maio A D, Farina A, et al. Knowledge-aided(potentially cognitive) transmit signal and receive filter design in signal-dependent clutter[J]. IEEE Transactions on Aerospace and Electronics Systems, 2013, 49(1):93-117.
[9] Wu Y F, Wang T, Wu J X, et al. Training sample selection for space-time adaptive processing in heterogeneous environments[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(4):1-5.
[10] Degurse J F, Savy L, Marcos S. Reduced-rank STAP for target detection in heterogeneous environments[J]. IEEE Transactions on Aerospace and Electronics Systems, 2014, 50(2):1153-1162.
[11] Lyu H, Feng D Z, He J, et al. A simplified eigencanceler for airborne MIMO radar clutter suppression[J]. Acta Aeronautica et Astronautica Sinica, 2011, 32(5):866-872(in Chinese).吕晖,冯大政,和洁,等.一种简化的机载MIMO雷达杂波特征相消器[J].航空学报, 2011, 32(5):866-872.
[12] Li C C, Liao G S, Zhu S Q, et al. An airborne MIMO-STAP method for severely non-homogeneous clutter suppression[J]. Acta Electronica Sinica, 2011, 39(3):511-517(in Chinese).李彩彩,廖桂生,朱圣棋,等.一种抑制严重非均匀杂波的机载MIMO-STAP方法[J].电子学报, 2011, 39(3):511-517.
[13] Li J, Zhu X, Stoica P, et al. Iterative space-time adaptive processing[C]//13th Digital Signal Processing Workshop & 5th Signal Processing Education Workshop (invited), 2009:440-445.
[14] Wen C, Wang T, Wu J X. Direct data domain approach with iterative space-time adaptive processing[J]. System Engineering and Electronics, 2014, 36(5):831-837(in Chinese).文才,王彤,吴建新.直接数据域迭代空时自适应处理算法[J].系统工程与电子技术, 2014, 36(5):831-837.
[15] Adve R S, Hale T B, Wicks M C. Practical joint domain localised adaptive processing in homogeneous and nonhomogeneous environments. Part Ⅱ:Non-homogeneous environments[J]. IEE Proceeding-Radar, Sonar and Navigation, 2000, 147(2):66-74.
[16] Yang X P, Sun Y Z, Liu Y X, et al. Hybrid STAP approach of direct data domain algorithm and adaptive localized domain transformation for discrete interference suppression in non-homogeneous clutter[J]. Electronics Letters, 2014, 50(23):1743-1745.
[17] Aboutanios E, Mulgrew B. A stap algorithm for radar target detection in heterogeneous environments[C]//2005 IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.
[18] Degurse J F, Savy L, Perenon R, et al. An extended formulation of the maximum likelihood estimation algorithm[C]//2011 Proceedings International Radar Symposium (IRS), 2011:763-768.
[19] Yang E, Adve R, Chun J, et al. Hybrid direct data domain sigma-delta space-time adaptive processing algorithm in non-homogeneous clutter[J]. IET Radar, Sonar and Navigation, 2010, 4(4):611-625.
[20] Yang X P, Liu Y X, Long T. Robust non-homogeneity detection algorithm based on prolate spheroidal wave functions for space-time adaptive processing[J]. IET Radar, Sonar and Navigation, 2013, 7(1):47-54.
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