航空学报 > 2011, Vol. 32 Issue (8): 1542-1547   doi: CNKI:11-1929/V.20110223.1630.000

无需辅助数据的分布式目标自适应检测器

简涛1, 苏峰1, 何友1, 李炳荣1, 顾雪峰2   

  1. 1. 海军航空工程学院 信息融合技术研究所, 山东 烟台 264001;
    2. 海军工程大学 科研部, 湖北 武汉 430033
  • 收稿日期:2010-10-16 修回日期:2010-11-22 出版日期:2011-08-25 发布日期:2011-08-19
  • 通讯作者: 简涛,Tel.: 0535-6635695 E-mail: iamjiantao@yahoo.com.cn E-mail:iamjiantao@yahoo.com.cn
  • 作者简介:简涛(1980-) 男,硕士,讲师。主要研究方向:雷达信号检测与信号处理。 Tel: 0535-6635695 E-mail: iamjiantao@yahoo.com.cn; 苏峰(1977-) 男,博士,讲师。主要研究方向:雷达信号检测与信号处理、目标跟踪等。 Tel: 0535-6635695 E-mail: sufenghjhy@tom.com
  • 基金资助:

    国家自然科学基金(61032001);海军航空工程学院青年科研基金(HYQN201013)

Distributed Target Detection Without Secondary Data

JIAN Tao1, SU Feng1, HE You1, LI Bingrong1, GU Xuefeng2   

  1. 1. Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China;
    2. Office of Research and Development, Naval University of Engineering, Wuhan 430033, China
  • Received:2010-10-16 Revised:2010-11-22 Online:2011-08-25 Published:2011-08-19

摘要: 在非高斯背景和没有辅助数据的条件下,研究了高分辨率雷达分布式目标的自适应检测问题。首先采用有序检测理论和协方差矩阵的迭代估计方法粗略估计散射点集合,进一步利用迭代估计方法获得协方差矩阵的近似最大似然估计,提出了无需辅助数据的自适应检测器(ADWSD)。ADWSD在非高斯背景下具有近似恒虚警率特性,且检测性能远好于修正的广义似然比检测器。仿真分析表明,随着杂波尖峰的增加,ADWSD的检测性能得到提高,且对不同的杂波相关性具有很好的鲁棒性。

关键词: 非高斯杂波, 分布式目标检测, 修正的广义似然比检验, 最大似然, 协方差矩阵

Abstract: The high resolution radar target echoes can be referred to as a distributed target. In the non-Gaussian background, the adaptive detection of a distributed target is investigated without secondary data. Firstly, the set of target scatterers are estimated roughly by means of the order statistics detection theory and the recursive estimator of covariance matrix. Then, an approximately maximum likelihood estimate of the covariance matrix is acquired by the recursive estimator. Furthermore, an adaptive detector without secondary data(ADWSD)is derived for the distributed target. The proposed detector is almost of constant false alarm rate for a non-Gaussian clutter. In addition, the ADWSD performs much better than the existing detector of modified generalized likelihood ratio test. Finally, the simulation results show that, as the clutter spikiness increases, the detection performance of ADWSD is improved, especially for the low signal-to-clutter ratio scenarios; and it is also robust with respect to different correlations of clutter.

Key words: non-Gaussian clutter, distributed target detection, modified generalized likelihood ratio test, maximum likelihood, covariance matrix

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