基于改进遗传算法的分布式阵列栅瓣抑制算法研究

Study on Improved Genetic Algorithm Based Grating Lobe Suppression for Distributed Sub-array

分布式阵列的研究是一个具有挑战性的难题,而遗传算法是一种研究分布式阵列的有效算法。然而,现存的文献大多集中在阵元级的研究;实际上,基于子阵级的研究更具有工程应用价值。本文提出了一种基于遗传算法的分布式阵列栅瓣抑制算法。首先建立了分布式阵列的算法模型,然后对传统的遗传算法进行了一些改进,最后利用改进的遗传算法对分布式阵列进行位置优化,在一定程度上有效的抑制了栅瓣。仿真验证了该算法的有效性和可行性。

Study on distributed sub-array is a challenging problem, and genetic algorithm is an effective method for it. However, existing literatures mainly concentrate on element-level; practically study on sub-arrays has more en- gineering application value. A genetic algorithm based grating lobe suppression for distributed sub-array is proposed. Firstly, a algorithm model for distributed sub-arrays is put forward; then improvement to the traditional genetic algorithm is provided. Finally, the improved genetic algorithm is used for optimization of the sub - arrays positions, application results show that the grating lobe can be suppressed effectively to some degree. Simulation verified the feasibility and efficiency of this algorithm.