威布尔杂波下扩展目标检测

Extended Target Detection under Weibull Clutter

摘要: 海杂波背景下的目标检测在军事和民用领域使用广泛且前景广阔。随着雷达分辨率的提高，海杂波呈现出幅度非高斯的特性，这给雷达目标的检测带来了新的挑战。目前，在宽带雷达目标检测的研究中，常用的宽带雷达海杂波幅度分布模型有：对数正态分布、威布尔分布、K分布等。本文将主要分析威布尔分布的海杂波背景下宽带目标的检测问题，提出了一种新的威布尔分布下扩展目标的检测算法：首先通过矩估计法估计出威布尔分布的两个参数，再构造新的检测量结合幅值积累检测器检测目标，研究发现可以通过构造新的检测量将威布尔分布转换成标准的指数分布，则问题转换成指数分布的海杂波背景下宽带目标的检测问题，使原来的问题大大简化，文章最后证明了本算法的有效性。

Abstract: Target detection under sea clutter is widely used in military and civilian applications and has broad prospects. As the resolution of the radar increases, the sea clutter exhibits a non-Gaussian amplitude, which brings new challenges to the detection of radar targets. At present, in the research of wide-band radar target detection, the commonly used broadband radar sea clutter amplitude distribution models are: lognormal distribution, Weibull distribution, K distribution and so on. This paper mainly analyzes the detection problem of wide-band targets in the sea clutter background of Weibull distribution, and proposes a new detection algorithm for extended targets under Weibull distribution: firstly, two parameters of Weibull distribution are estimated by moment estimation method. Then a new detection quantity is constructed combined with the amplitude accumulation detector to detect the target. It is found that the Weibull distribution can be converted into a standard exponential distribution by constructing a new detection quantity, and the problem is converted into an exponentially distributed broadband target in the background of the sea clutter. Through detecting problems and greatly simplifying the original problems, finally, the paper proves the effectiveness of the algorithm.