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Fast adaptive pulse compression based on matched filter outputs

机译:基于匹配滤波器输出的快速自适应脉冲压缩

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摘要

An adaptive pulse compression (APC) algorithm is developed, based on the concept of minimum mean square error (MMSE), that utilizes matched filter (MF) output as its input and is termed Matched-Filter-Reiterative-MMSE (MF-RMMSE). MF-RMMSE allows the use of a smaller processing window than traditional reiterative-MMSE (RMMSE) but achieves identical performance at side-lobe suppression, and thus the computational load is reduced. MF-RMMSE also facilitates the implementation of APC to current radar sensors, since the existing MF implementations can be untouched. The derivation of MF-RMMSE is provided in detail, and its performance is validated through both simulations and actual airborne radar measurements for "mixed-target" observations, which includes both hard targets and distributed weather targets.
机译:基于最小均方误差(MMSE)的概念,开发了一种自适应脉冲压缩(APC)算法,该算法利用匹配滤波器(MF)的输出作为其输入,并称为“匹配滤波器-迭代-MMSE(MF-RMMSE)” 。 MF-RMMSE允许使用比传统的迭代式MMSE(RMMSE)较小的处理窗口,但在旁瓣抑制方面实现了相同的性能,因此减少了计算量。 MF-RMMSE还可以简化当前雷达传感器的APC实施,因为现有的MF实施可以保持不变。详细介绍了MF-RMMSE的推导,并通过模拟和实际机载雷达测量值对“混合目标”观测值(包括硬目标和分布式天气目标)进行了验证,验证了其性能。

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