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Journal of Projectiles, Rockets, Missiles and Guidance >

2017 , Vol. 37 >Issue 6: 139 - 144

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2017.06.032

CORRELATION TECHNOLOGY

Helicopters Type Recognition Based on Micro-Doppler Texture Feature

  • LUO Dingli ,
  • YANG Lei ,
  • CHEN Yinxiang ,
  • WANG Yong ,
  • XU danlei
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  • Xi’an Electronic Engineering Research Institute, Xi’an 710100, China

Received date: 2017-03-01

  Online published: 2025-05-12

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Abstract

Firstly, the micro-Doppler effect of helicopter is analyzed. Then, one-dimensional local binary pattern (LBP) method is proposed to represent the texture feature of micro-Doppler, followed by the principal component analysis (PCA) to reduce feature dimensions. Finally, the support vector machine (SVM) classifier is utilized to recognize three-class helicopters, and results in different situations are given. The experimental results demonstrate the effectiveness of the proposed method under low pulse repetition frequency, strong clutter or low signal noise ratio conditions, the method is easy to implement.

Key words： micro-Doppler; texture feature; local binary pattern; principal component analysis; support vector machine

Cite this article

LUO Dingli , YANG Lei , CHEN Yinxiang , WANG Yong , XU danlei . Helicopters Type Recognition Based on Micro-Doppler Texture Feature[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2017 , 37(6) : 139 -144 . DOI: 10.15892/j.cnki.djzdxb.2017.06.032

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