J4 ›› 2010, Vol. 37 ›› Issue (3): 454-458+546.doi: 10.3969/j.issn.1001-2400.2010.03.012

• 研究论文 • 上一篇    下一篇

利用先验知识的空时自适应检测方法

周宇;张林让;刘楠;刘昕   

  1. (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:2009-01-04 出版日期:2010-06-20 发布日期:2010-07-23
  • 通讯作者: 周宇
  • 作者简介:周宇(1978-),男,西安电子科技大学博士研究生,E-mail: zhouyu@mail.xidian.edu.cn.
  • 基金资助:

    国家自然科学基金资助项目(60672130);重点实验室基金资助项目(0303072209)

Knowledge-aided space-time adaptive detection method

ZHOU Yu;ZHANG Lin-rang;LIU Nan;LIU Xin   

  1. (Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2009-01-04 Online:2010-06-20 Published:2010-07-23
  • Contact: ZHOU Yu

摘要:

针对雷达空时自适应检测中非均匀杂波造成可用均匀训练样本数少的问题,研究了在自适应检测器设计过程中融合先验知识的方法.自适应检测器中的协方差矩阵通常由多个独立同高斯分布向量估计得到,由于这些向量的外积之和服从Wishart分布,所以假定Wald检测器中的协方差矩阵是随机的且服从逆Wishart先验分布,该分布的参数矩阵可根据雷达探测环境的先验知识获得.基于上述假定推导出融合先验知识的Wald准则检测器,不仅利用了训练样本中的信息,还充分利用了探测环境先验信息.仿真实验表明,小样本情况下利用先验知识的Wald检测器的检测性能优于传统的检测器.

关键词: 空时自适应处理, Wald检测准则, 先验知识, 逆Wishart分布

Abstract:

The heterogeneous clutter results in insufficiency of available secondary data in radar Space-Time adaptive detection. To solve the problem, this paper deals with the design and the analysis of adaptive detector by exploring the Knowledge-based (KB) processing technique. Considering the theory that the outer product of independent identical Gaussian distribution vectors is the Wishart distribution, the covariance matrix in the Wald detector is assumed to be inverse Wishart distribution. The parameter matrix can be obtained by exploring the sensed environment. The proposed Knowledge-based Wald detector makes use of information from both secondary data and prior knowledge available about the sensed environment. Results show that noticeable performance improvements can be obtained especially when only a small number of secondary data is available.

Key words: space-time adaptive processing, Wald test, prior knowledge, inverse Wishart distribution