Abstract:A new Constant False Alarm Rate (CFAR) target detection algorithm is proposed based on Compressive Sensing (CS). Firstly, the sparsity of target in the distance dimension is analyzed and the sparse dictionary is constructed for the echo signal. Secondly, a certain measurement matrix and CFAR detection structure are designed based on CS. The proposed detector can detect sparse signals directly with high accuracy without any signal reconstruction. The proposed algorithm has a good noise reduction performance, which can detect low SNR and low Signal-to-Interference Ratio (SIR) signals successfully. Finally, computer simulation results verify that when SNR is equal to -14 dB and SIR is equal to -10 dB, the proposed detector can reduce the half measurements via compared with classical Matched Filter (MF) algorithm. What’s more, the performance of the proposed detector is better than CS MF algorithm.
马俊虎,刘长远,甘露. 基于压缩感知的CFAR目标检测算法[J]. 电子与信息学报, 2017, 39(12): 2899-2904.
MA Junhu, LIU Changyuan, GAN Lu. CFAR Target Detection Algorithm Based on Compressive Sensing. JEIT, 2017, 39(12): 2899-2904.
LI Ying, ZHANG Gong, TAO Yu, et al. Target detection in compressive sensing based on step frequency radar[J]. Modern Radar, 2015, 37(9): 22-25. doi: 10.16592/j.cnki.1004-7859.
[2]
DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306. doi: 10.1109/ TIT.2006.871582.
[3]
CANDES E J and WAKIN M B. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30. doi: 10.1109/MSP.2007.914731.
WU Jianyu, XU Haidong, and WANG Jue. A new joint reconstruction algorithm of compressed sensing for multichannel EEG signals based on over-complete dictionary approach[J]. Journal of Electronic & Information Technology, 2016, 38(7): 1666-1673. doi: 10.11999/JEIT151079.
CEN Yigang and CEN Lihui. Sparse representation and reconstruction of signals based on the peak transform[J]. Journal of Electronic & Information Technology, 2011, 33(2): 326-331. doi: 10.3724/SP.J.1146.2010.00305.
[6]
ENDER J H G. On compressive sensing applied to radar[J]. Signal Processing, 2010, 90(5): 1402-1414. doi: 10.1016./j. sigpro.2009.11.009.
WANG Weiwei, LIAO Guisheng, ZHU Shengqi, et al. A ground moving target indication method based on compressive sensing[J]. Journal of Electronic & Information Technology, 2012, 34(8): 1872-1878. doi: 10.3724/SP.J.1146. 2011.01285.
ZHAO Ruizhen, WANG Ruoqian, ZHANG Fengzhen, et al. Research on the blocked ordered vandermonde matrix used as measurement matrix for compressed sensing[J]. Journal of Electronic & Information Technology, 2015, 37(6): 1317-1322. doi: 10.11999/JEIT140860.
WANG Mingyu. Radar CFAR detection and distributed radar CFAR detection under complicated environments[D]. [Ph.D. dissertation], Northwestern Polytechnical University, 2001: 20-28.
[10]
RAGHAVAN R S. Analysis of CA-CFAR processors for linear-law detection[J]. IEEE Transactions on Aerospace & Electronic Systems, 1992, 28(3): 661-665. doi: 10.1109/7. 256288.
[11]
ROHLING H. Radar CFAR threshold in clutter and multiple target situation[J]. IEEE Transactions on Aerospace & Electronic Systems, 1983, 19(4): 608-621. doi: 10.1109/TAES. 1983.309350.
HU Qinzhen, SU Hongtao, ZHOU Shenghua, et al. Double threshold CFAR detection for multisite radar[J]. Journal of Electronic & Information Technology, 2016, 38(10): 2430-2436. doi: 10.11999/JEIT151163.
ZHAO Xinggang and WANG Shouyong. An inproved matrix CFAR detection method base on KL divergence[J]. Journal of Electronic & Information Technology. 2016, 38(4): 934-940. doi: 10.11999/JEIT150711.
[14]
ANITORI L, ROSSUM W V, OTTEN M, et al. Compressive sensing radar: Simulations and experiments for target detection[C]. Signal Processing Conference, Marrakech, Morocco, 2014: 1-5.
[15]
ANITORI L, ROSSUM W V, OTTEN M, et al. Compressive CFAR radar processing[C]. Compressive CFAR Radar Processing Tno, Repository, Bremen, Germany, 2013: 57-60.
[16]
RAZAVI A, VALKAMA M, and CABRIC D. Compressive detection of random subspace signals[J]. IEEE Transactions on Signal Processing, 2016, 64(16): 4166-4179. doi: 10.1109/ TSP.2016.256.0132.
[17]
HARIRI A and BABAIE M. Compressive detection of sparse signals in additive white gaussian noise without signal reconstruction[J]. Signal Processing, 2016, 131: 376-385. doi: 10.1016/j.sigpro.2016.08.020.
MARK A. RICHARDS, XING Mengdao, WANG Tong, et al. Fundamentals of Radar Signal Processing[M]. Beijing: Publishing House of Electronics Industry, 2008: 117-147.
[19]
DAVENPORT M A, WAKIN M B, and BARANIUK R G. The compressive matched filter[R]. Rice University, Technical Report TREE-0610, 2006.