Multistatic CFAR detection in non-Gaussian clutter

R. Palamà, M. Greco, F. Gini
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引用次数: 5

Abstract

This work deals with a target detection algorithm for multistatic and multiple input - multiple output radars. The adopted algorithm is able to keep the false alarm rate constant, if the disturbance samples associated to each receiver-transmitter pair are distributed according to a Compound-Gaussian model. In particular, we analyze the performance of the adopted detection algorithm, in order to evaluate the impact of clutter diversity on the detection performance. To this aim, we simulated the clutter samples by varying the shape parameter of the clutter distribution associated to each receiver-transmitter pair. The results highlight that clutter diversity has a strong impact on the detection performance. In the case of two channels, i.e. two receiver-transmitter pairs, a significant result is that the same value of the probability of the detection is obtained for different couples of the shape parameters associated to the two channels.
非高斯杂波下的多静态CFAR检测
本文研究了一种适用于多输入多输出雷达的目标检测算法。采用复合高斯模型对每对接收-发射对的干扰样本进行分布,该算法能够保持虚警率不变。特别地,我们分析了所采用的检测算法的性能,以评估杂波多样性对检测性能的影响。为此,我们通过改变每个接收-发射对的杂波分布的形状参数来模拟杂波样本。结果表明,杂波分集对检测性能有很大影响。在两个通道的情况下,即两个接收-发射对,一个重要的结果是,对于与两个通道相关的形状参数的不同对,获得了相同的检测概率值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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