基于遗传算法的宽带目标波束空间DOA估计  

Wideband targets beam-space DOA estimation based on genetic algorithm

作　　者：金勇[1] 程云志[1] 周柯[1] 

机构地区：[1]河南大学先进控制与智能信息研究所,河南开封475004

出　　处：《传感器与微系统》2008年第7期53-55,58,共4页Transducer and Microsystem Technologies

基　　金：河南省自然科学基金资助项目(0511014300)

摘　　要：提出一种基于遗传算法的宽带目标到达方位(DOA)估计新方法,该方法首先通过傅立叶变换方法设计频域恒定束宽转换矩阵,并使用该矩阵将阵元空间的数据转换到波束空间,同时,利用宽带波束空间遗传算法进行DOA估计。计算机仿真表明:在低信噪比条件下该算法相比于CSS类子空间算法、CSS类最大似然算法和阵元空间遗传算法有更高的分辨概率,更小的均方误差。A new wideband beam-space DOA estimation approach based on genetic algorithm is proposed. Frequency invariant beamformer transform matrix is designed by using fast Fourier transform, Array data is transformed to beam-space using this matrix. The beam-space genetic algorithm is applied in beam-space to estimate DOA of wideband signals. The simulations show that beam-space genetic algorithm has higher resolution, smaller mean square error better than sub-space algorithm, maximum likelihood algorithm and array genetic algorithm in low SNR ranges.

关 键 词：到达方位 波束空间遗传算法 宽带目标 

分 类 号：TB556[理学—物理]