中圖分類號：TN95 文獻(xiàn)標(biāo)志碼：A DOI: 10.16157/j.issn.0258-7998.245562
中文引用格式： 馮晨熙，夏德平. 粒子群優(yōu)化算法在無人分布式陣面的應(yīng)用[J]. 電子技術(shù)應(yīng)用，2024，50(9)：125-129.
英文引用格式： Feng Chenxi，Xia Deping. Application of particle swarm optimization algorithm in unmanned distributed array[J]. Application of Electronic Technique，2024，50(9)：125-129.

Application of particle swarm optimization algorithm in unmanned distributed array

Abstract： Airborne radar is limited by the carrier platform and cannot obtain a larger aperture array, while on unmanned aerial vehicle platforms, the radar array can be reduced to zero. Under the condition of finite array elements, a sparse array can be used to obtain a larger aperture array. However, sparse array can cause the elevation of directional grid lobes and side lobes, and it needs to be optimized to eliminate grid lobes and reduce side lobes before it can be used. The optimization of sparse array pattern is a discrete optimization problem. In this paper, the particle swarm optimization algorithm is applied to the sparse array of unmanned distributed radar. The algorithm principle is simple, the running speed is fast, the adjustable parameters are few, and the directional pattern without grid lobes and low sidelobes is obtained with fewer array elements, thereby improving the performance of unmanned distributed array.

Key words : particle swarm optimization algorithm；sparse arrays；unmanned distributed array