Waveform Design Based on Modified Genetic Algorithm for MIMO Radar Imaging

2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control Pub Date : 2012-12-08 DOI:10.1109/IMCCC.2012.218

Yupeng Zhu

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引用次数: 4

Abstract

MIMO radar imaging which integrates wideband signal processing with MIMO radar system is a potential technology for remote sensing. Waveform design is a principal important issue before radar imaging successfully in MIMO. There are two main requirements for the waveform used in MIMO radar imaging: the signals should be orthogonal and its auto-correlation function should have low side lobe noise and narrow main lobe. This paper analyses statistical characteristics of random stepped frequency (RSF) signal's auto-correlation deeply and proves that large stepped frequency number is suitable for MIMO imaging radar. Then a method for designing random stepped frequency-coding waveforms by modified genetic algorithm is presented here. A random matrix is used for initializing the genetic algorithm, and annealing algorithm is applied here for avoiding GA's disadvantages such as prematurity. In the end we compare the waveforms designed by GA and MGA and apply the waveforms in MIMO radar imaging simulation, the result proves that it is suitable for overcoming interfere among MIMO radar channels and imaging target.

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基于改进遗传算法的MIMO雷达成像波形设计

MIMO雷达成像将宽带信号处理与MIMO雷达系统相结合，是一种极具潜力的遥感技术。波形设计是MIMO雷达成像成功的一个重要问题。MIMO雷达成像对波形的要求主要有两点:一是信号正交，二是信号的自相关函数旁瓣噪声低，主瓣窄。深入分析了随机步进频率(RSF)信号自相关的统计特性，证明了大步进频率数适用于MIMO成像雷达。在此基础上，提出了一种基于改进遗传算法的随机阶跃频率编码波形设计方法。采用随机矩阵初始化遗传算法，并采用退火算法来避免遗传算法的早熟等缺点。最后比较了遗传算法和MGA算法设计的波形，并将波形应用于MIMO雷达成像仿真，结果表明，该算法适用于克服MIMO雷达信道与成像目标之间的干扰。

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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来源期刊

2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control

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