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Orthogonal Waveform Design Based on the Modified Chaos Genetic Algorithm for MIMO Radar

机译:基于改进混沌遗传算法的MIMO雷达正交波形设计

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In view of the traditional genetic algorithm easily fall into local optimum in the late iterations, this paper puts forward an improved chaos genetic algorithm coded orthogonal signal design method which combines the chaos theory and genetic algorithm for MIMO radar. In order to prevent and overcome the 'premature' phenomenon in the process of optimization, the traversal features of the chaos optimization is introduced to the genetic algorithm, which reduces the autocorrelation peak side lobe and cross-correlation peak. Simulation results show that the proposed algorithm is feasible and effective.
机译:针对传统遗传算法在后期迭代中容易陷入局部最优的问题,提出了一种改进的混沌遗传算法编码正交信号设计方法,将混沌理论和遗传算法相结合用于MIMO雷达。为了防止和克服优化过程中的“过早”现象,将混沌优化的遍历特征引入遗传算法,减少了自相关峰旁瓣和互相关峰。仿真结果表明,该算法是可行和有效的。

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