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Orthogonal Waveform Design of MIMO Radar Based on Niche Genetic Algorithm

机译：基于小生境遗传算法的MIMO雷达正交波形设计

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摘要

In order to optimize the orthogonal design of MIMO radar waveform, an improved algorithm based on niche genetic algorithm is proposed. The algorithm is able to eliminate individuals with similar structures in the population or data, maintain a certain distance between individuals, and effectively hold the diversity of them It thus eliminates the phenomenon of premature convergence, strengthens the global search ability of the algorithm, and improves its convergence speed. It is shown that the algorithm has both the advantages of overall search ability of genetic algorithm and the ability of the niche genetic algorithm to discover multiple optimal solutions. Simulation was given to show that the algorithm was cable to reduce the side-lobe of the auto-correlation function of the orthogonal polyphase code and the peak value of the cross-correlation function of the code with good performance of autocorrelation and cross-correlation obtained
机译：为了优化MIMO雷达波形的正交设计，提出了一种基于小生境遗传算法的改进算法。该算法能够消除种群或数据中具有相似结构的个体，保持个体之间一定的距离，并有效地保持个体的多样性，从而消除了过早收敛的现象，增强了算法的全局搜索能力，并提高了算法的准确性。它的收敛速度。结果表明，该算法既具有遗传算法的整体搜索能力，又具有利基遗传算法发现多个最优解的能力。仿真结果表明，该算法能够减小正交多相码自相关函数的旁瓣和码间互相关函数的峰值，具有良好的自相关和互相关性能。

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