基于多特征信息融合的海面微弱目标检测

doi:10.12305/j.issn.1001-506X.2022.11.07

Abstract

Abstract:

To improve the performance of radar weak target detection in sea clutter, a target detection method based on multi-feature information fusion is proposed. Firstly, on the basis of the analysis of time-domain returned signal, the pulse and amplitude deviation rate is defined to characterize the sharpness of discrete returned signal. Secondly, the multi-feature information fusion tensor is constructed by combining the frequency peak to average ratio and local grade of fractality of the returned signal. Thirdly, the support vectors machine (SVM) classifier is trained by cross validation, and the target is detected according to the classifier. Finally, by a series of experimental analysis of the measured sea clutter data, the parameters of the proposed scheme are optimized. Furthermore, the results show that the proposed method has better robustness compared with the existing traditional methods.

Key words: target detection, sea clutter, information fusion, support vector machine (SVM)

CLC Number:

TN911.23

Chunling XUE, Fei CAO, Qing SUN, Jianqiang QIN, Xiaowei FENG. Sea-surface weak target detection based on multi-feature information fusion[J]. Systems Engineering and Electronics, 2022, 44(11): 3338-3345.

Figures/Tables 13

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References 32

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数据集	目标单元		SCR/dB	浪高/m
数据集	主目标	次目标	HH/VV/HV/VH	浪高/m
#17	9	8, 10, 11	18.3/3.7/13.0/13.0	2.1
#30	7	6, 8	-0.3/2.0/3.6/3.6	0.9
#54	8	7, 9, 10	9.5/11.0/12.9/12.8	0.7
#280	8	7, 9, 10	4.0/4.4/7.3/7.4	1.4

参数	窗口宽度
参数	512	1 024	2 048	4 096	8 192	16 384
P_d	0.615	0.606	0.602	0.703	0.688	0.688
P_fa	0.028	0.039	0.041	0.038	0.038	0.075

参数	窗口宽度
参数	32	64	128	256	512	1 024	2 048	4 096
P_d	0.808	0.807	0.802	0.706	0.780	0.701	0.709	0.703
P_fa	0.057	0.059	0.059	0.051	0.076	0.040	0.048	0.038

数据集	参数	极压模式
数据集	参数	HH	VV	HV	VH
#17	P_d	0.510	0.211	0.448	0.452
#17	P_fa	0.027	0.009	0.030	0.032
#54	P_d	0.975	0.676	0.952	0.956
#54	P_fa	0.001	0.026	0.007	0.006
#280	P_d	0.802	0.791	0.740	0.690
#280	P_fa	0.059	0.057	0.043	0.030

数据集	参数	检测方法
数据集	参数	BCD	RAA	TIE	TH-SVM	本文方法
#17	P_d	0.427	0.496	0.344	0.469	0.510
#17	P_fa	0.027	0.027	0.030	0.069	0.027
#30	P_d	0.369	0.304	0.230	0.124	0.540
#30	P_fa	0.208	0.122	0.173	0.011	0.017
#54	P_d	0.515	0.718	0.307	0.647	0.975
#54	P_fa	0.002	0.002	0.222	0.112	0.001
#280	P_d	0.138	0.291	0.354	0.341	0.802
#280	P_fa	0.710	0.062	0.454	0.057	0.059
耗时/s		0.14	0.03	0.04	0.76	0.05

Sea-surface weak target detection based on multi-feature information fusion

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