地面目标HRRP识别的稳健性特征选择方法

doi:10.12305/j.issn.1001-506X.2023.12.02

Abstract

Abstract:

Feature selection is a key step in radar high resolution range profile (HRRP) target recognition, which can reduce the features dimension and improve the features robustness. A feature selection method based on divergence is proposed. This method is used to select feature subset from the feature set which is suitable for the recognition of ground targets range profile. Then the well-selected feature subset is sent to the classifier network for recognition. The ground target simulation data and filed data are used to conduct neural network classifier recognition experiments. The experimental results show that when the signal to noise ratio, elevation angle, and resolution of range profile change, the feature selection method based on divergence can not only maintain or improve the recognition ability of the feature set, but also maintain or even improve the robustness of the recognition, which has good practical value.

Key words: radar target recognition, high resolution range profile, feature extraction, feature selection, ground target

CLC Number:

TN951

Danyang LIU, Kun WU, Yongfeng ZHU, Yongjie ZHANG, Jianxiong ZHOU. Robust feature selection method for ground target HRRP recognition[J]. Systems Engineering and Electronics, 2023, 45(12): 3726-3733.

Figures/Tables 12

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References 17

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参数	取值
参数	起始值	终止值	间隔
俯仰角/(°)	30	40	1.0
方位角/(°)	0	66	0.1
频率/MHz	4 500	5 500	7.5

变量	数据
变量	数据1	数据2	数据3
SNR/dB	20~35, 间隔1	23	23
俯仰角/(°)	30~40	30~40, 间隔1	30~40
带宽/MHz	1 000	1 000	200~1 000, 间隔100

待识别目标	识别结果
待识别目标	目标A	目标B	目标C
目标A	99.67	0.00	0.33
目标B	0.71	95.03	4.26
目标C	9.00	8.74	82.26

待识别目标	识别结果
待识别目标	目标A	目标B	目标C
目标A	97.33	0.34	2.33
目标B	2.84	90.76	6.40
目标C	7.71	9.26	83.03

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Robust feature selection method for ground target HRRP recognition

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