航空学报 > 2015, Vol. 36 Issue (3): 939-948   doi: 10.7527/S1000-6893.2014.0169

先验失配条件下的知识辅助检测器稳健性分析

邹鲲1, 张斌1, 刘自富2   

  1. 1. 空军工程大学 信息与导航学院, 西安 710077;
    2. 星海通信科技有限公司, 福州 350008
  • 收稿日期:2014-04-14 修回日期:2014-07-22 出版日期:2015-03-15 发布日期:2015-03-31
  • 通讯作者: 邹鲲 男,博士,讲师。主要研究方向:统计信号处理,信号检测与估计,雷达信号处理,认知雷达。Tel: 029-84791512 E-mail: wyyxzk@163.com E-mail:wyyxzk@163.com
  • 作者简介:张斌 男,博士,教授。主要研究方向:自适应信号处理。Tel: 029-84791512 E-mail: zhangbin5037@163.com
  • 基金资助:

    国家自然科学基金 (61271292);航空创新基金

Robustness analysis of knowledge aided detector under prior mismatched conditions

ZOU Kun1, ZHANG Bin1, LIU Zifu2   

  1. 1. School of Information and Navigation, Air Force Engineering University, Xi'an 710077, China;
    2. Xinghai Communication Science Technology Co., Ltd., Fuzhou 350008, China
  • Received:2014-04-14 Revised:2014-07-22 Online:2015-03-15 Published:2015-03-31
  • Supported by:

    National Natural Science Foundation of China (61271292); Aeronautical Innovation Foundation

摘要:

充分利用探测环境的先验信息是提高雷达探测能力的有效途径之一。先验信息必须在雷达检测算法设计阶段确定下来,因此先验信息与当前探测环境之间可能存在不一致性。以复合高斯杂波中的、利用纹理分量先验信息的知识辅助(KA)检测器作为研究对象,首先建立了该检测器检测性能与先验分布参数失配之间的量化关系,然后根据给定的杂波探测环境模型参数,分析了先验模型失配对检测性能的影响。分析结果表明:知识辅助检测器的稳健性与当前探测环境模型参数有关。进一步给出了先验模型失配的容许区间,当先验模型参数在这个区间内,知识辅助检测器性能优于不使用先验信息的检测器性能。

关键词: 知识辅助, 雷达信号检测, 复合高斯, 先验信息, 稳健性

Abstract:

Smart use of the prior information of detection environment is one of effective approaches to improve the performance of radar detection. Prior information is given at the design stage of radar detector, and the resultant difference between the prior model and current detection environment may be existed. In this paper, the knowledge aided (KA) detector using the texture component prior information in compound Gaussian clutter is considered. The quantized relationship between the detector performance and the mismatched prior model parameters is proposed, and the impact of the mismatched prior model on the detector performance is analyzed, with given detection environment model. The analyzed results show that, the robustness of knowledge aided detector is related to the model parameters of current detection environment. Furthermore, we propose the allowable region of the prior model mismatches, and when the prior model parameters are located in this region, the knowledge aided detector outperforms the convention detector without using prior information.

Key words: knowledge aided, radar signal detection, compound Gaussian, prior information, robustness

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