多静态自适应脉冲压缩的几个方面

S. Blunt, K. Gerlach
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引用次数: 14

摘要

众所周知,两个或更多的雷达在近距离操作,在同一时间,在同一频谱可以严重干扰彼此,尽管使用低互相关波形。最近,提出了一种基于最小均方误差(MMSE)公式的多静态自适应脉冲压缩(MAPC)方法,该方法已被证明可以将距离旁瓣和互相关模糊抑制到噪声水平。本文研究了多普勒失配效应下MAPC方法的性能。结果表明,对于相对较高的多普勒,MAPC方法在大目标周围经历了一些多普勒诱发的副瓣,但仍然明显优于标准匹配滤波器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aspects of multistatic adaptive pulse compression
It is well known that two or more radars operating in close proximity, at the same time, and in the same spectrum can severely interfere with one another despite the use of low cross-correlation waveforms. Recently, an approach was proposed called multistatic adaptive pulse compression (MAPC) based on a minimum mean-square error (MMSE) formulation which has been shown to suppress both range sidelobes and cross-correlation ambiguities to the level of the noise. This paper examines the performance of the MAPC approach under the effects of Doppler mismatch. It is demonstrated that for relatively high Doppler the MAPC approach experiences some Doppler-induced sidelobes around large targets yet is still substantially superior to the standard matched filter.
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