一种提高距离扩展目标检测性能的新方法

doi:10.3969/j.issn.1001-2400.2010.06.013

Abstract

Abstract:

Aimed at the shortage of the conventional hard threshold of the binary integrator, a new method based on the local fuzzy thresholding map is proposed. The new method utilizes the local fuzzy threshold in range dimension to suppress noise-only cells and preserve target's strong scattering cells. Then, the energy integration in the range-pulse domain realizes multi-pulse integration to improve the detection performance. Compared with the commonly-used spatial scattering density generalized likelihood ratio test (SSD-GLRT), by the proposed method one needn't know any a priori information on targets and this method has the constant false alarm rate (CFAR) characteristic. Experimental results show that the gain by the proposed method is increased about 2dB with respect to that by SSD-GLRT, and about 4dB with respect to that by the binary integrator.

Key words: high resolution range profile, local fuzzy threshold, binary integrator, scattering density, generalized likelihood ratio

XU Shu-wen;SHUI Peng-lang. New method for improving the performance of range-spread target detection[J].J4, 2010, 37(6): 1053-1058.

References

[1] Bon N, Khenchaf A, Garello R. GLRT Subspace Detection for Range and Doppler Distributed Targets[J]. IEEE Trans on Aerospace and Electronic Systems, 2008, 44(2): 678-696.
[2] 李丽亚, 刘宏伟, 纠博, 等. 基于核函数的多极化HRRP识别[J]. 西安电子科技大学学报, 2010, 37(1):49-55.
Li Liya, Liu Hongwei, Jiu Bo, et al. Polarization Radar HRRP Recognition Based on the Kernel Function[J]. Journal of Xidian University, 2010, 37(1):49-55.
[3] 柴晶, 刘宏伟, 保铮. 一种提高雷达HRRP识别和拒判性能的新方法[J]. 西安电子科技大学学报, 2009, 36(2):233-239.
Chai Jing, Liu Hongwei, Bao Zheng. New Method for Improving the Performance of Radar HRRP Recognition and Rejection[J]. Journal of Xidian University, 2009, 36(2):233-239.
[4] Shuai Xiaofei, Kong Lingjiang, Yang Jianyu. Performance Analysis of GLRT-based Adaptive Detector for Distributed Targets in Compound-Gaussian Clutter[J]. Signal Processing, 2010, 90(1): 16-23.
[5] Hughes P K. A High Resolution Radar Detection Strategy[J]. IEEE Trans on Aerospace and Electronic Systems, 1983, 19(5): 663-667.
[6] Blunt S D, Gerlach K, Heyer J. HRR Detector for Slow-Moving Targets in Sea Clutter[J]. IEEE Trans on Aerospace and Electronic Systems, 2007, 43(3): 965-974.
[7] Gerlach K, Steiner M J, Lin F C. Detection of a Spatially Distributed Target in White Noise[J]. IEEE Signal Processing Letters, 1997, 4(7): 198-200.
[8] Leung S W, Minett J W, Siu Y M, et al. A Fuzzy Approach to Signal Integration[J]. IEEE Trans on Aerospace and Electronic Systems, 2002, 38(1): 346-351.
[9] Shui Penglang, Liu Hongwei, Bao Zheng. Range-Spread Target Detection Based on Cross Time-Frequency Distribution Features of Two Adjacent Received Signals[J]. IEEE Trans on Signal Processing, 2009, 57(10): 3733-3745.

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[4]	XU Bin,CHEN Bo,LIU Jiaqi,WANG Penghui,LIU Hongwei. Radar HRRP target recognition by the bidirectional LSTM model [J]. Journal of Xidian University, 2019, 46(2): 29-34.
[5]	CAO Ding;ZHOU Shenghua;LIU Hongwei;SHAO Zhiqiang. Fusion method based on multilevel quantization in multistatic radar [J]. Journal of Xidian University, 2018, 45(5): 32-37+49.
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[7]	HU Qinzhen;YANG Qian;SU Hongtao;ZHOU Shenghua;LIU Ziwei;YANG Yang. Double-threshold GLRT CFAR detection in distributed MIMO radar [J]. Journal of Xidian University, 2016, 43(4): 29-33+85.
[8]	JIN Biao;SU Tao;LI Yanyan;ZHANG Long. Multi-target tracking algorithm aided by a high resolution range profile [J]. J4, 2016, 43(1): 1-6+29.
[9]	LIU Hongchao;JIU Bo;LIU Hongwei;BAO Zheng. High resolution range profile compensation algorithm for the space target with uniform acceleration [J]. J4, 2012, 39(4): 81-86.
[10]	WANG Penghui;DU Lan;LIU Hongwei;LI Yanbing;WU Zhaoping. New frame segmentation method for radar HRRPs [J]. J4, 2011, 38(6): 22-29.
[11]	XIA Yu-yin;FENG Da-zheng;LI Tao. Novel detection method for HRRP data [J]. J4, 2010, 37(2): 260-266+284.
[12]	LI Tao;FENG Da-zheng;XIA Yu-yin. Non-coherent integration algorithm based on HRRP data [J]. J4, 2010, 37(2): 267-272.
[13]	CHEN Feng;DU Lan;BAO Zheng. Modified KNN rule with its application in radar HRRP target recognition [J]. J4, 2007, 34(5): 681-686.
[14]	MA Jian-hua;LIU Hong-wei;BAO Zheng. Radar HRRP recognition based on the kernel matching pursuit classifier [J]. J4, 2005, 32(1): 84-88.

New method for improving the performance of range-spread target detection

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