电子信息

基于WL-MF海面弱目标检测算法

  • 高 芬 ,
  • 杨 梅 ,
  • 柳晓鸣 ,
  • 索继东
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  • (大连海事大学 信息科学技术学院,辽宁 大连 116026)
高 芬(1991—),女,硕士生.

收稿日期: 2014-10-21

  修回日期: 2015-01-18

  网络出版日期: 2015-01-19

Weak target detection in sea clutter based on WL-MF

  • GAO Fen ,
  • YANG Mei ,
  • LIU Xiao-ming ,
  • SUO Ji-dong
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  • (College of Information Science and Technology,Dalian Maritime University,Dalian 116026,China)

Received date: 2014-10-21

  Revised date: 2015-01-18

  Online published: 2015-01-19

摘要

为有效检测海杂波背景下的弱目标,研究一种基于小波领袖多重分形(WL-MF)分析的目标检测方法.该方法采用小波领袖法分析海杂波的多重分形特性,利用海杂波与目标的多重分形参数差异实现目标检测. 采用IPIX雷达实测海杂波数据对该方法进行验证,结果表明:尺度函数与多重分形谱在不同海情下对海杂波和目标均具有良好的区分能力,且与传统的多重分形去势波动分析法相比,WL-MF计算量小,更便于检测.

本文引用格式

高 芬 , 杨 梅 , 柳晓鸣 , 索继东 . 基于WL-MF海面弱目标检测算法[J]. 大连海事大学学报, 2015 , 41(3) : 128 -132 . DOI: 10.16411/j.cnki.issn1006-7736.2015.03.023

Abstract

To detect weak sea target effectively, the method based on wavelet leaders multifractal (WL-MF) was studied. Wavelet leaders was used to analyze the multifractal characteristics of sea clutter, the multifractal parameters of sea clutter and target area were extracted to detect target. It is verified by IPIX radar sea clutter data. Result shows that scaling function and multifractal spectrum have the ability for distinguishing target from clutter under different sea conditions. In comparison with traditional multifractal detrended fluctuation analysis, the WL-MF method needs less computation and is easier to carry out.

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