电子学报 ›› 2013, Vol. 41 ›› Issue (9): 1847-1853.DOI: 10.3969/j.issn.0372-2112.2013.09.029

• 科研通信 • 上一篇    下一篇

基于海杂波FRFT谱多尺度Hurst指数的目标检测方法

刘宁波, 关键, 王国庆, 陈小龙, 何友   

  1. 海军航空工程学院电子信息工程系, 山东烟台 264001
  • 收稿日期:2012-03-21 修回日期:2012-06-11 出版日期:2013-09-25
    • 作者简介:
    • 刘宁波 男,1983年生于山东烟台,博士,讲师.研究方向包括雷达信号处理、海杂波中微弱目标检测. E-mail:lnb198300@163.com;关 键 男,1968年生于辽宁锦州,教授,博士生导师.研究方向包括雷达目标检测与跟踪、侦察图像处理和信息融合.获全国优秀博士学位论文奖,新世纪百千万人才工程国家级人选. E-mail:guanjian96@tsinghua.org.cn
    • 基金资助:
    • 国家自然科学基金 (No.61179017,No.61201445); "泰山学者"建设工程专项经费; 航空科学基金 (No.20095184004)

Target Detection Within Sea Clutter Based on Multi-Scale Hurst Exponent in FRFT Domain

LIU Ning-bo, GUAN Jian, WANG Guo-qing, CHEN Xiao-long, HE You   

  1. Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai, Shandong 264001, China
  • Received:2012-03-21 Revised:2012-06-11 Online:2013-09-25 Published:2013-09-25

摘要: 本文主要研究海杂波分数阶Fourier变换(FRFT)谱的扩展自相似特性及FRFT域多尺度Hurst指数在海杂波目标检测中的应用.鉴于扩展自相似过程的描述参数——多尺度Hurst指数可以描述分形信号在各尺度下的细节信息,本文基于实测雷达数据研究海杂波FRFT谱的扩展自相似性以及影响参数,并利用最优FRFT域尺度下多尺度Hurst指数对目标较敏感的特点设计海杂波中目标的恒虚警检测方法.经实测数据验证,海杂波FRFT谱的多尺度Hurst指数比时域单一Hurst指数、时域多尺度Hurst指数具有更好的海杂波与目标区分能力,并且由于FRFT可以很好地积累匀加速类目标回波的能量,有效提升信杂比,因此该检测方法具有检测海杂波中微弱运动目标的潜力.

关键词: 目标检测, 海杂波, FRFT谱, 分形, 多尺度Hurst指数

Abstract: This paper mainly studies the extended self-similarity of the fractional Fourier transform (FRFT) spectrum of sea clutter and the application of the multi-scale Hurst exponent in FRFT domain to target detection within sea clutter.Considering that the parameter of the extended self-similar process—the multi-scale Hurst exponent can characterize the details of fractal signals in each scale,this paper studies the extended self-similarity of real sea clutter FRFT spectrum and its influencing factors based on real radar data.Then,the characteristic that the multi-scale Hurst exponent in the optimal FRFT-domain scale is relatively sensitive to the target is utilized for designing CFAR detection method within sea clutter.By the verification of real data,the multi-scale Hurst exponent in FRFT domain performs better in separating target from sea clutter than the mono-Hurst exponent and the multi-scale Hurst exponent in time domain.Additionally,because FRFT can effectively accumulate the energy of accelerating target echoes and promote the signal-to-clutter ratio,the proposed detection method has the potential for weak moving target detection within sea clutter.

Key words: target detection, sea clutter, FRFT spectrum, fractal, multi-scale hurst exponent

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