Suboptimum approach to adaptive coherent radar detection in compound-Gaussian clutter
Suboptimum approach to adaptive coherent radar detection in compound-Gaussian clutter
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DOI：
10.1109/7.784077
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发表时间：
1999-07
影响因子：
4.4
通讯作者：
F. Gini;M. Greco
中科院分区：
文献类型：
--
作者：
F. Gini;M. Greco
在未知相关高斯杂波中，起伏雷达目标的自适应检测一直受到人们的关注。另一方面，非高斯环境下的自适应检测问题仍在研究中。研究了复合高斯杂波背景下Swerling I型目标的自适应相干雷达检测问题。本文的主要贡献是：（1）提出了一种自适应线性二次（ALQ）检测器，它具有恒虚警（CFAR）特性，对杂波幅度概率密度函数（APDF）不敏感，（2）研究并比较了ALQ检测器和Kelly广义似然比检验（GLRT）对K分布杂波的检测性能。
Adaptive detection of fluctuating radar targets in unknown correlated Gaussian clutter has received considerable attention in the past. On the other hand, the problem of adaptive detection in non-Gaussian environments is still under investigation. Adaptive coherent radar detection of Swerling I targets against compound-Gaussian clutter is addressed. Our contribution is (1) to present a detection algorithm, called the adaptive linear-quadratic (ALQ) detector, with constant false-alarm rate (CFAR) behavior with respect to the clutter amplitude probability density function (apdf) and that is quite insensitive to the clutter correlation structure, and (2) to investigate and compare the performance of the ALQ detector and Kelly's generalized likelihood ratio test (GLRT) against K-distributed clutter.