电子学报 ›› 2017, Vol. 45 ›› Issue (6): 1342-1348.DOI: 10.3969/j.issn.0372-2112.2017.06.009

• 学术论文 • 上一篇    下一篇

非高斯杂波下基于子空间的距离扩展目标检测器

简涛1,2, 廖桂生2, 何友1, 丁彪1   

  1. 1. 海军航空工程学院信息融合研究所, 山东烟台 264001;
    2. 西安电子科技大学雷达信号处理重点实验室, 陕西西安 710071
  • 收稿日期:2015-07-30 修回日期:2016-11-16 出版日期:2017-06-25
    • 作者简介:
    • 简涛 男,1980年8月出生,湖北天门人,副教授,硕士生导师,曾获全国优秀博士学位论文提名奖,主要从事雷达信号处理、目标检测与识别等研究工作.E-mail:work_jt@163.com;廖桂生 男,1963年出生,广西桂林人,教授,博士生导师,长江学者特聘教授,主要从事雷达信号处理相关领域的研究工作.E-mail:liaogs@xidian.edu.cn;何友 男,1956年出生,吉林磐石人,中国工程院院士,教授,博士生导师,主要研究方向为雷达信号处理和多传感器信息融合等.E-mail:heyouhjhy@126.com;丁彪 男,1981年出生,山东日照人,讲师,主要研究方向为雷达信号处理.
    • 基金资助:
    • 国家自然科学基金 (No.61102166,No.61471379); 中国博士后科学基金 (No.2013M540733,No.2014T70904); 山东省博士基金 (No.BS2013DX003)

Range-Spread Target Detector Based on Subspace in Non-Gaussian Clutter

JIAN Tao1,2, LIAO Gui-sheng2, HE You1, DING Biao1   

  1. 1. Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai, Shandong 264001, China;
    2. Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, Shaanxi 710071, China
  • Received:2015-07-30 Revised:2016-11-16 Online:2017-06-25 Published:2017-06-25
    • Supported by:
    • National Natural Science Foundation of China (No.61102166, No.61471379); China Postdoctoral Science Foundation (No.2013M540733, No.2014T70904); Doctoral Foundation of Shandong Province (No.BS2013DX003)

摘要:

在辅助数据缺失的非高斯杂波背景下,采用两步法设计策略研究了距离扩展目标检测方法.首先,在杂波纹理分量已知的条件下,对待检测数据进行高斯化,利用高斯背景下杂波协方差矩阵和目标散射点幅度的合适估计,建立检验统计量.其次,利用待检测数据在信号子空间正交补上的正交投影,估计杂波纹理分量,提出了基于子空间的距离扩展目标自适应检测器,并证明了其对杂波纹理分量的恒虚警率(CFAR,Constant False Alarm Rate)特性.仿真结果表明,在典型非高斯背景下,所提检测器的CFAR特性和检测性能均优于对比检测器;另外,阵元数、目标距离单元数或杂波尖峰的增加,能不同程度改善检测性能.

关键词: 宽带雷达, 距离扩展目标, 正交补子空间, 恒虚警率, 辅助数据

Abstract:

In non-Gaussian clutter environment,the range-spread target detection without secondary data is addressed,by utilizing two-step design procedure.Firstly,with known clutter texture component,the data under test is transformed into the Gaussian ones.And then the test statistic is derived by using the appropriate estimates of unknown clutter covariance matrix and target scatterer amplitudes.Secondly,by orthogonally projecting the data under test onto the orthogonal complement of signal subspace,the unknown clutter texture components are estimated.Consequently,the range-spread target detector based on subspace is proposed,and its constant false alarm rate (CFAR) property is also analyzed.It is showed that,under the classical non-Gaussian background,the proposed detector outperforms the compared ones,in terms of CFAR property and detection performance.In addition,its detection performance enhances to different extents,as the number of sensors,the number of target range cells or the clutter spikiness increases.

Key words: wideband radar, range-spread target, orthogonal complement subspace, constant false alarm rate, secondary data

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