遗传算法用于波达方向估计的线阵优化  

Optimization of Linear Array for Direction of Arrival Estimation by Genetic Algorithm

作　　者：曹攀[1] 侯宏[1] 辛渊博[1] 孙进才[1] 

机构地区：[1]西北工业大学航海学院,陕西西安710072

出　　处：《计算机仿真》2009年第12期157-159,189,共4页Computer Simulation

摘　　要：利用遗传算法优化阵列设计来改善声目标波达方向估计性能。研究波达方向估计采用信号相位匹配原理的奇异值分解法SVDSPM,利用遗传算法对线阵进行了优化。优化时,阵列孔径不变,将阵元数目作为优化变量,优化目标是降低DOA估计误差。仿真结果标明:优化后在阵元数目减少的情况下,DOA估计偏差和均方误差更小。而且优化的阵列有好的低信噪比及宽带信号波达方向估计的能力。Genetic algorithm is used for optimization of linear array. The Algorithm for direction of arrival （DOA） estimation is the Singular Value Decomposition based on signal- phase- matching （SVDSPM）. In optimization, the array aperture is unchanged. The number of array element is used as variable and the aim is to reduce the error of DOA. Simulation results show that the optimized array with fewer elements has less error of DOA estimation than that of original array. In addition, the optimized array is with good performance for low Signal to Noise Ratio （SNR） and broad band frequency signal.

关 键 词：遗传算法 均匀线阵 优化 波达方向估计 相位匹配原理 奇异值分解法 

分 类 号：TN911.23[电子电信—通信与信息系统]