%A Ping JIANG, Bingnan QU, Huaze DING, Runze MA, Wei HE %T Optimal array structure for time difference direction finding based on improved particle swarm optimization %0 Journal Article %D 2023 %J Acta Aeronautica et Astronautica Sinica %R 10.7527/S1000-6893.2022.26502 %P 326502-326502 %V 44 %N 2 %U {https://hkxb.buaa.edu.cn/CN/abstract/article_19084.shtml} %8 2023-01-25 %X

To reduce the impact of the array structure on the accuracy of the direction finding algorithm and improve the accuracy of target direction finding in specific scenarios, a Particle Swarm Optimization algorithm with Competitive and Differential Evolution (PSO-CDE) is proposed to optimize the time difference direction finding array. First, according to the principle of time difference direction finding, the sensor array is designed with position and baseline constraints. The fitness evaluation function is constructed with the mean square error. Second, the PSO-CDE algorithm is proposed to improve particle swarm optimization performance and robustness and optimize the array structure. Finally, the optimized array structure under different conditions is obtained by simulating the target range environment. The results show that the optimized array has higher accuracy in target direction finding than the regular array. The influence of the array element baseline, the number of the elements and the time delay error in the optimal array on the accuracy of direction finding is also analyzed, which provides a reference for the selection of array structure optimization strategy in the actual scene.