对海雷达目标识别中全极化HRRP的特征提取与选择

doi:10.11999/JEIT160722

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Abstract

Making full and effective use of target polarization information from High Resolution Range Profile (HRRP) is a hot issue for improving the recognition performance of maritime surveillance radar. A HRRP database with seven maritime targets classes from various aspect angles is established, on which thirty-nine features from four categories are defined. A novel feature selection method based on the Normalized Mutual Information (NMI) and Simulated Annealing (SA) algorithm is presented, named as NMI-SA. The effectiveness of the NMI-SA is proved by comparison with three other methods using HRRP dataset and eight from UCI machine learning repository. Finally, the NMI-SA is applied to the HRRP dataset to find twenty-five high discriminant and low redundancy features.

Key words： Fully polarized HRRP Feature extraction Feature selection Mutual information Simulated annealing

Received: 07 July 2016 Published: 02 December 2016

PACS:

TN959.72

Fund:

The National Natural Science Foundation of China (61401493), The National Ministries Foundation of China (9140A01010415JB11002)

Corresponding Authors: FAN Xueman E-mail: oucfanxm@163.com

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	FAN Xueman
	HU Shengliang
	HE Jingbo

Cite this article:

FAN Xueman,HU Shengliang,HE Jingbo. Feature Extraction and Selection of Full Polarization HRRP in Target Recognition Process of Maritime Surveillance Radar[J]. JEIT, 2016, 38(12): 3261-3268.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160722 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I12/3261

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