基于多段混沌的调频雷达信号的抗噪和抗干扰性能

Xie Shao-bin, He Zishu, Liu Lidong, Xie Sheng, Wang Anan
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引用次数: 0

摘要

本文对基于多段混沌的调频(MS CBFM)信号进行了分析,重点研究了MS-CBFM雷达信号在噪声环境下的抗噪性能和抗干扰性能。选取Logistic、Bernoulli、Tent和Multi-Segment作为混沌函数生成CBFM信号。计算了所选CBFM信号的李雅普诺夫指数、自相关、功率谱和模糊函数,并在噪声环境下对CBFM信号的抗噪性能进行了仿真。从本文的分析和性能仿真结果可以看出,在噪声环境下的高分辨率雷达成像领域,使用MS CBFM雷达信号不仅是可行的,而且是有利的。
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Antinoise and ECCM performances of Multi-Segment chaos-based FM radar signals
The aim of this paper present an analysis of a Multi-Segment chaos-based frequency modulated (MS CBFM) signals, to focus attention on antinoise and ECCM performances of MS-CBFM radar signals in a noise environment. Selected Logistic, Bernoulli, Tent and Multi-Segment as chaotic function generated CBFM signals. Lyapunov exponent, autocorrelation, power spectra and ambiguity function of selected CBFM signals were calculated, and antinoise performance of CBFM Signals were simulation in a noise environment. From the analysis and results of performance simulation presented in the thesis, it can be said that the use of MS CBFM radar signal, is not only feasible but also advantageous in the field of high-resolution radar imaging in a noise environment.
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