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Adaptive polarimetric target detection with coherent radar. I.Detection against Gaussian background

机译:相干雷达的自适应极化目标检测。一,高斯背景检测

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摘要

The derivation of a completely adaptive polarimetric coherent scheme to detect a radar target against a Gaussian background is presented. A previously proposed Generalized Likelihood Ratio Test (GLRT) polarimetric detector is extended to the case of a general number of channels; this exploits the polarimetric characteristics of the received radar echoes to improve the detection performance. Together with the fully adaptive scheme, a model-based detector is derived that has a lower estimation loss. A complete theoretical expression is derived for the detection performance of both proposed polarimetric detectors. They are shown to have Constant False Alarm Rate (CFAR) when operating against Gaussian clutter, but to be sensitive to deviations from the Gaussian statistic. The application to recorded radar data demonstrates the performance improvement achievable in practice
机译:提出了在高斯背景下检测雷达目标的完全自适应极化相干方案。先前提出的广义似然比测试(GLRT)极化检测器已扩展到一般通道数的情况;这可以利用接收到的雷达回波的极化特性来提高检测性能。与完全自适应方案一起,可得出具有较低估计损失的基于模型的检测器。对于两个提议的偏振检测器的检测性能,得出了完整的理论表达式。当针对高斯杂波进行操作时,它们具有恒定的误报率(CFAR),但对与高斯统计量的偏差敏感。在记录的雷达数据上的应用证明了在实践中可以实现的性能改进

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