雷达高分辨距离像分帧新方法

doi:10.3969/j.issn.1001-2400.2011.06.004

Abstract

Abstract:

To deal with the target-aspect sensitivity of radar High Resolution Range Profiles (HRRP), a novel frame segmentation method is proposed. Firstly, the statistical characteristic of HRRPs' frequency spectrum amplitudes is analyzed and assumed to be joint Gaussian distribution. Then Probabilistic Principle Component Analysis (PPCA) is employed to model each sub-frame and the Expectation Maximization (EM) algorithm is adopted to estimate the model parameters. Finally, the adjacent sub-frames which have the minimum Kullback-Leibler (KL) distance are merged iteratively to finish the frame segmentation. Both segmentation results and recognition performance of measured data verify the effectiveness of this method.

Key words: radar target recognition, high resolution range profile(HRRP), target-aspect sensitivity, probabilistic principle component analysis(PPCA), Kullback-Leibler distance

CLC Number:

TN959.1+7

WANG Penghui;DU Lan;LIU Hongwei;LI Yanbing;WU Zhaoping. New frame segmentation method for radar HRRPs[J].J4, 2011, 38(6): 22-29.

References

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[1]	XU Bin,ZHANG Yongshun,ZHANG Qin,WANG Fuping,ZHENG Guimei. Radar HRRP target recognition based on the multiplicative RNN model [J]. Journal of Xidian University, 2021, 48(2): 49-54.
[2]	GUO Zekun,TIAN Long,HAN Ning,WANG Penghui,LIU Hongwei,CHEN Bo. Radar HRRP based few-shot target recognition with CNN-SSD [J]. Journal of Xidian University, 2021, 48(2): 7-14.
[3]	XU Danlei;DU Lan;WANG Penghui;LIU Hongwei. Radar HRRP target recognition by utilizing multitask sparse learning with a small training data size [J]. Journal of Xidian University, 2016, 43(2): 23-28.
[4]	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.
[5]	XIONG Lin;JIAO Licheng;MAO Shasha . Selective ensemble based on the integer matrix linear transformation and its application to radar target recognition [J]. J4, 2015, 42(2): 13-19.
[6]	LI Zhipeng;MA Tianxiang;DU Lan;XU Danlei;LIU Hongwei;ZHANG Zijing. Multi-class classifier design for feature fusion in radar HRRP recognition [J]. J4, 2013, 40(1): 111-117.
[7]	GUANG Yongsheng;ZUO Qunsheng;LIU Hongwei;DU Lan;LI Yanbing. Micro-motion characteristic analysis and recognition of cone-shaped targets [J]. J4, 2011, 38(2): 105-111.
[8]	LI Li-ya;LIU Hong-wei;JIU Bo;WU Shun-jun. Polarization radar HRRP recognition based on the kernel function [J]. J4, 2010, 37(1): 49-55.
[9]	HOU Qing-yu;LIU Hong-wei;BAO Zheng. New method for suppression of the clutter of the wideband target recognition radar [J]. J4, 2008, 35(5): 769-773.
[10]	CHEN Feng;DU Lan;BAO Zheng. Modified KNN rule with its application in radar HRRP target recognition [J]. J4, 2007, 34(5): 681-686.
[11]	PEI Bing-nan1;2;BAO Zheng1;CHEN Jian-feng2. Performance study of target recognition methods based on the 1D HRR profile [J]. J4, 2003, 30(2): 141-145.

New frame segmentation method for radar HRRPs

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