Unmatched Filters for Autocorrelation Function Side-Lobes Suppression of Complex Radar Signals

N. Kharina, E. Petrov, L. V. Kladova
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Abstract

Requirements for modern radar systems make it necessary to use complex signals. Signal compression during the filtering gives rise to side lobes that can mask the wanted signal and cause false alarms. Lowering the side-lobe level of the autocorrelation function allows solving the problems of detection and resolution of objects with a low effective scattering surface, negative contrast and high interference level. There are hardware and signaling methods to reduce the level of the side lobes of the autocorrelation function. This article studies the hardware methods for reducing the side-lobes level by using an un-matched filter. It describes a method for constructing an inconsistent filter for maximizing the main lobe level with a given level of side lobes. Mathematical modeling of this filter for sequences of phaze manipulation signals, generated on maximum length sequence, was made and illustrated
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复杂雷达信号自相关函数旁瓣抑制的非匹配滤波器
现代雷达系统的要求使得有必要使用复杂的信号。在滤波过程中的信号压缩会产生侧瓣,它可以掩盖想要的信号并引起假警报。降低自相关函数的旁瓣电平,可以解决低有效散射面、负对比度和高干扰水平物体的检测和分辨率问题。有硬件和信令方法来降低自相关函数的侧瓣的电平。本文研究了利用不匹配滤波器降低旁瓣电平的硬件方法。它描述了一种构造不一致滤波器的方法,该方法用于在给定的副瓣电平下最大化主瓣电平。对该滤波器在最大长度序列上产生的相位控制信号序列进行了数学建模,并进行了说明
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