航空学报 > 2013, Vol. 34 Issue (5): 1140-1150   doi: 10.7527/S1000-6893.2013.0203

复合高斯杂波中距离扩展目标的迭代近似GLRT检测器

顾新锋1, 简涛1, 何友1, 郝晓琳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. 烟台电力经济技术研究所, 山东 烟台 264001
  • 收稿日期:2012-06-26 修回日期:2012-10-11 出版日期:2013-05-25 发布日期:2012-10-18
  • 通讯作者: 何友 男, 博士, 教授, 博士生导师。主要研究方向: 雷达信号检测与处理, 多传感器信息融合等。 Tel: 0535-6635695 E-mail: ncif09@163.com E-mail:ncif09@163.com
  • 作者简介:顾新锋 男, 博士研究生。主要研究方向: 信号处理, 高分辨率雷达目标检测。 Tel: 0535-6635695 E-mail: gxf1983@126.com;简涛 男, 博士, 讲师。主要研究方向: 雷达信号检测与信号处理。 E-mail: iamjiantao@163.com;何友 男, 博士, 教授, 博士生导师。主要研究方向: 雷达信号检测与处理, 多传感器信息融合等。 Tel: 0535-6635695 E-mail: ncif09@163.com
  • 基金资助:

    国家自然科学基金(61032001, 61102166);新世纪优秀人才支持计划(NCET-11-0872)

Recursive Asymptotic GLRT Detector of Range-spread Target in Compound Gaussian Clutter

GU Xinfeng1, JIAN Tao1, HE You1, HAO Xiaolin2   

  1. 1. Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China;
    2. Yantai Electricity and Economy Technical Institute, Yantai 264001, China
  • Received:2012-06-26 Revised:2012-10-11 Online:2013-05-25 Published:2012-10-18
  • Supported by:

    National Natural Science Foundation of China (61032001, 61102166); Program for New Century Excellent Talents in University(NCET-11-0872)

摘要:

研究了结构化的复合高斯杂波(CGC)背景中距离扩展目标自适应检测问题。针对异质杂波背景中的近似广义似然比检验(AGLRT-HTG)检测器应用于CGC背景中时存在一定的信杂比损失问题,结构化的复合高斯杂波采用自回归过程建模,结合近似广义似然比检验(AGLRT)方法和迭代估计思想,提出了CGC背景中距离扩展目标的迭代近似广义似然比检测器(RAGLRT-CGC)。从理论上分析了极限情况下RAGLRT-CGC虚警概率与检测门限关系的解析表达式。仿真结果表明,在CGC背景中,RAGLRT-CGC对不同多主散射点目标具有较好的鲁棒性,并且检测性能明显优于AGLRT-HTG。

关键词: 雷达杂波, 复合高斯杂波, 距离扩展目标, 检测, 自回归, 广义似然比检验

Abstract:

This paper addresses the adaptive detection of range-spread targets in a structured compound-Gaussian clutter (CGC). In view of the fact that the asymptotic generalized likelihood ratio test in a heterogeneous environment (AGLRT-HTG) suffers a signal to clutter ratio loss in a CGC environment, the structured CGC is modeled as an autoregressive process and a recursive AGLRT in the compound-Gaussian clutter (RAGLRT-CGC) environment is proposed by using the method of asymptotic generalized likelihood ratio test (AGLRT) and the idea of recursive estimation. The analytical formula relating false alarm probability to detection threshold for limit cases is deduced. The simulation results show that the RAGLRT-CGC is robust to different multiple dominant scattered targets and the detection performance of RAGLRT-CGC is obviously better than the AGLRT-HTG.

Key words: radar clutter, compound-Gaussian clutter, range-spread target, target detection, autoregressive, generalized likelihood ratio test

中图分类号: