窄带舰船目标识别方法研究

doi:10.16180/j.cnki.issn1007-7820.2021.06.009

Abstract

Abstract:

A ship target recognition method based on narrowband radar is proposed in the present study. This method extracts the region of interest of the target from the echo signal of narrowband radar, then extracts the characteristics of expectation, standard deviation, variance and central moment of the target based on the region of interest. According to the track information of the radar ship target, the proposed method extracts the attitude angle of the target and introduces the attitude angle as the feature into the classifier. Finally, the narrowband radar ship target is classified using the support vector machine. The results show that the method has a high recognition rate for large, medium and small ship classification, and it has a certain engineering application value.

Key words: narrowband radar, ship classification, region of interest, expect, standard deviation, variance, central moment, attitude angle, support vector machine

CLC Number:

TN957.52

ZHANG Pengfei,WEI Cunwei,LIU Xiankang,LIU Anran,YANG Ou,LIN Yonglin. Research on Ship Target Recognition Method of Narrowband Radar[J].Electronic Science and Technology, 2021, 34(6): 50-55.

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Table 1

References 20

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目标	样本1识别率	样本2识别率	样本3识别率
大型目标	81.66%	85.46%	87.28%
中型目标	74.36%	78.84%	84.53%
小型目标	86.32%	89.78%	93.02%
平均识别率	80.80%	84.70%	88.30%

Research on Ship Target Recognition Method of Narrowband Radar

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