基于改进HHO算法的MIMO雷达多相正交波形设计

2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2022-08-21 DOI:10.1109/ICEICT55736.2022.9909170

Qian Sun, Yuying Wang, Yingsong Li, Chunrui Tang

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引用次数: 0

摘要

为了提高多输入多输出(MIMO)雷达正交多相波形设计的相关性，降低算法复杂度，提出了一种基于遗传算法的改进离散哈里斯鹰优化算法(GA-DisHHO)。GA- dishho算法利用遗传算法的交叉和突变过程，以局部循环变化代替Levi飞行过程，更新个体，实现离散优化。GA-DisHHO集成了全局搜索和局部搜索，提高了解的精度，无需额外设置参数。仿真结果表明了GA-DisHHO算法的可行性和有效性。

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Polyphase Orthogonal Waveform Design for MIMO Radar Based on Improved HHO Algorithm

An improved discrete Harris Hawks Optimization based on genetic algorithm (GA-DisHHO) is proposed in this paper to enhance the correlation properties and reduce algorithm complexity in the design of orthogonal polyphase waveform for multiple input multiple output (MIMO) radar. Replacing Levi flight process with local cyclic variations, the crossover and mutation process of GA are utilized in GA-DisHHO to update individuals in order to achieve discrete optimization. Global searching and local searching are integrated in GA-DisHHO to improve the accuracy of solutions without any additional parameter setting. The simulation results showed the feasibility and effectiveness of GA-DisHHO algorithm.

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2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)

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