摘要
运用Matlab软件,提出一种改进的粒子群算法,对不同的相控阵一维稀疏阵列进行仿真优化分析,计算出能反映成像的空间分辨率和对比度分辨率的阵列方向图,得到了综合声学性能接近参考满阵阵列的稀疏阵列.实验分析表明,粒子群算法的引用能为稀疏阵列提供有效的优化设计.
Based on the Matlab software, this paper puts forward an improved particle swarm optimiza-tion （PSO） algorithm by the simulation and optimization of different 1 D sparse array, to calculate theirarray patterns which can reflect the spatial resolution and contrast resolution of the image and find outsparse array with good acoustic performance close to the reference array. Experimental analysis indi-cates that the PSO algorithm provides an effective reference for sparse array optimization design.
出处
《福州大学学报（自然科学版）》
CAS
CSCD
北大核心
2014年第3期430-438,共9页
Journal of Fuzhou University(Natural Science Edition)
基金
国家质检总局科技计划资助项目(2010QK032)
