Hybrid Adaptive Receive Processing for Multistatic Radar

S. Blunt, W. Dower, Karl Gerlach
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引用次数: 6

Abstract

For multiple radars operating within the same spectrum, the resulting mutual interference can severely degrade sensitivity. Recently, the multistatic adaptive pulse compression (MAPC) algorithm has demonstrated the ability to partially suppress multistatic interference to better estimate the illuminated range profiles. This estimation is accomplished by jointly determining, in an MMSE sense, the range cell complex amplitudes associated with each of the received radar waveforms. As the number of received radar signals increases, the residual error after the application of MAPC increases as well. However, instead of jointly estimating all the received signals, one may wish to selectively minimize the residual error for a particular received radar (e.g. the monostatic returns from the co-located transmitter). In this paper, selective error minimization is achieved by utilizing a MAPC-based variant of the CLEAN algorithm. The resulting hybrid CLEAN algorithm is shown to provide significant sensitivity improvement over MAPC alone.
多基地雷达混合自适应接收处理
对于在同一频谱内工作的多部雷达,所产生的相互干扰会严重降低灵敏度。近年来,多静态自适应脉冲压缩(MAPC)算法已被证明能够部分抑制多静态干扰,从而更好地估计被照距离轮廓。这种估计是通过在MMSE意义上共同确定与每个接收到的雷达波形相关的距离单元复振幅来完成的。随着接收雷达信号数量的增加,应用MAPC后的残差也随之增加。然而,与其联合估计所有接收到的信号,不如选择性地最小化特定接收雷达的残余误差(例如,来自同址发射机的单站回波)。在本文中,通过利用基于mapc的CLEAN算法变体来实现选择性误差最小化。结果表明,与单独的MAPC相比,混合CLEAN算法提供了显着的灵敏度提高。
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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