自适应脉冲压缩

S. Blunt, Karl Gerlach
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引用次数: 42

摘要

脉冲压缩本质上是一种估计过程,其中要估计给定距离单元的复振幅,同时减轻由发射波形与感兴趣的距离带卷积产生的相邻距离单元的干扰。传统上,匹配滤波用于估计距离返回,其中相邻的距离单元被匹配滤波器的距离旁瓣决定的固定数量的抑制。然而,匹配滤波是一种误称,因为接收滤波器只与发射波形匹配,而不与实际接收信号匹配。本文扩展了先前提出的用于自适应脉冲压缩的重复最小均方误差(RMMSE)算法,其中基于实际接收信号估计每个单独距离单元的真正匹配滤波器,从而产生自适应抑制到噪声底电平的距离旁瓣。解决了RMMSE算法的收敛性和多普勒容差问题。
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Adaptive pulse compression
Pulse compression is essentially an estimation procedure in which the complex amplitude for a given range cell is to be estimated while mitigating the interference from neighboring range cells that results from the convolution of the transmitted waveform with the range swath of interest. Traditionally, matched filtering is employed to estimate the range returns whereby the neighboring range cells are suppressed by a fixed amount that is dictated by the range sidelobes of the matched filter. However, matched filtering is a misnomer in that the receive filter is matched only to the transmitted waveform and not to the actual received signal. The paper extends the previously proposed reiterative minimum mean-square error (RMMSE) algorithm for adaptive pulse compression whereby the true matched filter for each individual range cell is estimated based upon the actual received signal resulting in range sidelobes that are adaptively suppressed to the level of the noise floor. The convergence of the RMMSE algorithm is addressed along with the Doppler tolerance.
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