Coherent radar detection in Compound-Gaussian clutter: Clairvoyant detectors
Coherent radar detection in Compound-Gaussian clutter: Clairvoyant detectors
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DOI：
10.1109/maes.2016.150132
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发表时间：
2016-12
影响因子：
3.6
通讯作者：
K. J. Sangston;A. Farina
中科院分区：
文献类型：
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作者：
K. J. Sangston;A. Farina
本文对复合高斯杂波中相干雷达目标检测的历史和发展进行了综述，并提出了一些新的研究视角和途径。它首先简要介绍了建立非高斯杂波统计模型的必要性，然后回顾了导致用复合高斯模型来建模多变量雷达杂波统计的一些物理思想。以此为出发点，本文随后回顾了一系列用来描述这种杂乱中的千里眼探测器的概念。术语“千里眼”指的是假设杂波的性质是已知的。在实际场景中，这一假设不成立，需要自适应技术来估计杂波特性并实现检测器。然而，这种技术是由适当的透视式探测器结构指导的，因此从研究这些探测器开始是合适的。作为这篇综述的一部分，本文提供了看待这一问题的新方法，并提出了新的研究课题。这篇综述仅限于假设杂波的相关性质是已知的透视检测问题。复合高斯杂波中的自适应检测将是作者正在准备的后续教程的主题。
This paper provides a historical and tutorial overview of coherent radar target detection in compound-Gaussian clutter and offers some new perspectives and avenues of research in this challenging area. It begins with a brief introduction that motivates the need to develop statistical models of non-Gaussian clutter and then reviews some of the physical ideas that led to modeling multivariate radar clutter statistics by the compound-Gaussian model. With this starting point, the paper then reviews a series of ideas that have been developed to describe clairvoyant detectors in such clutter. The term “clairvoyant” refers to the assumption that the properties of the clutter are assumed to be known. In a practical scenario, this assumption does not hold and adaptive techniques are needed to estimate clutter properties and implement the detector. Such techniques are guided however by the appropriate clairvoyant detector structures and hence it is proper to start by studying these detectors. As part of this review, the paper offers new ways of looking at this problem that suggest new research topics. This review is limited to the problem of clairvoyant detection in which the relevant properties of the clutter are assumed to be known. Adaptive detection in compound-Gaussian clutter will be the topic of a subsequent tutorial that the authors are preparing.