基于雷达知识库的知识辅助恒虚警检测算法

发布时间：2018-01-31 12:03

本文关键词： 雷达知识库知识辅助恒虚警检测　出处：《现代雷达》2017年06期 　论文类型：期刊论文

【摘要】：在非均匀杂波背景下,传统的恒虚警检测算法,比如CA-CFAR,所选择的参考单元与待检测单元往往无法满足独立同分布的条件,导致背景杂波功率水平的估计值存在偏差,使得检测性能降低。针对上述问题,文中提出了一种基于雷达知识库的知识辅助恒虚警检测算法。首先,利用雷达环境知识来构建动态的雷达知识库;然后,利用雷达知识库中的先验信息来辅助参考单元的选择,提高背景杂波功率水平的估计准确性,从而降低非均匀背景带来的影响;最后,利用线性调频连续波雷达采集的实测数据对该算法性能进行了验证。结果表明:在非均匀杂波环境下,基于雷达知识库的知识辅助恒虚警检测算法比传统算法有更好的检测性能。
[Abstract]:Under the background of non-uniform clutter, the traditional CFAR detection algorithms, such as CA-CFAR, often choose the reference unit and the unit to be detected can not satisfy the condition of independent distribution. The estimation of background clutter power level is deviated, and the detection performance is reduced. To solve the above problems, a knowledge aided CFAR detection algorithm based on radar knowledge base is proposed in this paper. Using radar environment knowledge to construct dynamic radar knowledge base; Then, the priori information in radar knowledge base is used to assist the selection of reference units to improve the accuracy of power level estimation of background clutter, so as to reduce the influence of non-uniform background. Finally, the performance of the algorithm is verified by the measured data collected by the linear frequency modulation continuous wave radar. The results show that the proposed algorithm can be used in heterogeneous clutter environment. The Knowledge-based CFAR detection algorithm based on radar knowledge base has better detection performance than the traditional algorithm.
【作者单位】：电子科技大学电子工程学院;
【基金】：国家自然科学基金资助项目(61301266,61170868,61201276) 中国中央大学基本研究基金资助项目(ZYGX2012Z001,ZYGX2013J012,ZYGX2014J013,ZYGX2014Z005) 中国博士后科学基金资助项目(2014M550465) 新世纪优秀人才支持计划资助项目(A1098524023901001063)
【分类号】：TN957.52
【正文快照】： 0引言传统的恒虚警检测算法通过估计背景杂波功率水平来计算检测门限,其中经典的单元平均恒虚警检测器(CA-CFAR)就是取临近待检测单元两侧单元的杂波功率均值来确定检测门限[1-3]。该方法需要参考单元与待检测单元的杂波满足独立同分布的条件[4],而在实际情况中,探测环境复杂

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