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HRR Detector for Slow-Moving Targets in Sea Clutter

机译:HRR检测器,用于海杂波中缓慢移动的目标

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The radar detection of targets in the presence of sea clutter has historically relied upon the radial velocity of targets with respect to the radar platform either by exploiting the relative target Dopplers (for targets with sufficient radial velocity) or by discerning the paths targets traverse from scan to scan. For targets with little to no radial velocity component, though, it can become quite difficult to differentiate targets from the surrounding sea clutter. This paper addresses the detection of slow-moving targets in sea clutter using a high resolution radar (HRR) such that the target has perceptible extent in range. Under the assumption of completely random sea clutter spikes based on an epsiv-contaminated mixture model with the signal and clutter powers known, optimal detection performance results from using the likelihood ratio test (LRT). However, for realistic sea clutter, the clutter spikes tend to be a localized phenomenon. Based upon observations from real radar data measurements, a heuristic approach exploiting a salient aspect of the idealized LRT is developed which is shown to perform well when applied to real measured sea clutter.
机译:历史上,在存在海浪杂波的情况下,雷达对目标的探测一直依靠目标相对于雷达平台的径向速度,方法是利用相对目标多普勒(对于具有足够径向速度的目标),或者通过辨别目标从扫描中经过的路径扫描。但是,对于几乎没有或没有径向速度分量的目标,将目标与周围海杂波区分开来会变得非常困难。本文介绍了使用高分辨率雷达(HRR)在海杂波中检测慢速移动目标的方法,以使目标具有可感知的范围。在基于带有信号和杂波功率已知的epsiv污染的混合模型的完全随机的海浪杂波峰值的假设下,使用似然比测试(LRT)可获得最佳的检测性能。但是,对于实际的海浪杂波来说,杂波峰值往往是局部现象。基于实际雷达数据测量的观察结果,开发了一种启发式方法,该方法利用了理想LRT的一个显着方面,当应用于实际测量的海浪杂波时,该方法表现良好。

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