改进奇异值分解的海杂波抑制算法

doi:10.19665/j.issn1001-2400.2023.02.019

摘要/Abstract

摘要：

针对强海杂波背景下海面运动目标回波信号难以检测的问题,提出了一种奇异值分解和双延迟线对消算法相结合的海杂波抑制算法。首先将脉冲压缩后的目标回波信号按周期重排成快慢时间维度矩阵,进行周期奇异值分解;然后构造出信号所对应奇异值的阈值和输入信杂噪比的关系,利用阈值对奇异值指数比进行判决,实现自适应区分海杂波和目标信号;最后对重构后的目标信号进行双延迟线对消,抑制杂波的同时确保目标信号的损失降到最低。采用实测数据对算法性能进行实验验证,相比于现有的海杂波抑制算法,所提方法能够适应目标回波序列信杂噪比的变化,在输入信杂噪比为-30 dB下仍能抑制大部分杂波并准确检测信号,由此验证了新算法具有更好的抑制效果和更优的检测性能。

关键词: 目标检测, 海杂波, 杂波抑制, 奇异值分解, 双延迟线对消算法

Abstract:

Aiming at the problem that the echo signals of moving targets on the sea surface are difficult to detect in the background of a strong sea clutter,a sea clutter suppression algorithm (SVD-MTI algorithm for short) is proposed,which combines singular value decomposition (SVD) and dual delay line pair elimination algorithm.First,the pulse-compressed target echo signals are periodically rearranged into a matrix of fast and slow time dimensions,and the periodic singular value decomposition is performed;Then,it is proposed that the threshold value of the singular value corresponding to the signal and the input signal to clutter plus noise ratio obey Gaussian distribution,and that the threshold value is used to judge the energy singular value exponential ratio,so as to realize the adaptive distinction between sea clutter and target signal.Finally,dual delay line pair elimination is performed on the reconstructed target signal to suppress the clutter and minimize the loss of the target signal.The performance of the algorithm is experimentally verified by using the measured data.Compared with the existing sea clutter suppression algorithm,the proposed method can adapt to the change of the signal to clutter plus noise ratio of the target echo sequence,and can still suppress most of the clutter when the input SCNR is -30dB,and accurately detect the signal,which verifies that the new algorithm has a better suppression effect and a better detection performance.

Key words: target detection, sea clutter, clutter suppression, singular value decomposition, dual delay line pair elimination algorithm

中图分类号:

TN957.51

国强,陈佳甜,戚连刚,CHORNOGOR Leonid. 改进奇异值分解的海杂波抑制算法[J]. 西安电子科技大学学报, 2023, 50(2): 188-196.

GUO Qiang,CHEN Jiatian,QI Liangang,CHORNOGOR Leonid. Sea clutter suppression algorithm based on improved singular value decomposition[J]. Journal of Xidian University, 2023, 50(2): 188-196.

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参数名称	参数设置
海杂波数据	19 931 107_135 603_starea17
海杂波个数	第5个距离单元中的1 001到17 000个脉冲数
工作频段	X
天线极化方式	VV
工作频率/GHz	9.39
脉冲重复频率/kHz	10
脉冲宽度/s	10^-5
距离分辨率/m	30
目标与雷达间距/m	4 980

组号	输入信杂噪比	OP算法的输出信杂噪比	OP-SVD算法的输出信杂噪比	SVD-FRFT算法的输出信杂噪比	SVD-MTI算法的输出信杂噪比	SVD-MTI算法的信杂噪比增益
第1组	-30	失效	失效	失效	14.931 2	44.931 2
第2组	-25	失效	失效	失效	17.939 5	42.939 5
第3组	-20	失效	失效	失效	19.256 8	39.256 8
第4组	-15	失效	失效	12.782 6	22.293 0	37.293 0
第5组	-10	失效	9.063 3	14.465 8	22.978 3	32.9783
第6组	-5	10.844 0	13.499 7	14.749 4	22.806 6	27.806 6
第7组	0	15.311 0	17.705 7	16.147 0	23.808 8	23.808 8
第8组	5	19.423 8	21.044 8	18.767 3	24.952 5	19.952 5

算法	时间/s
OP	0.568 7
OP-SVD	1.210 0
SVD-FRFT	1.721 7
SVD-MTI	1.855 5