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基于遗传算法的宽带目标波束空间DOA估计
引用本文:金勇,程云志,周柯. 基于遗传算法的宽带目标波束空间DOA估计[J]. 传感器与微系统, 2008, 27(7)
作者姓名:金勇  程云志  周柯
作者单位:河南大学先进控制与智能信息研究所,河南,开封,475004
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。

关 键 词:到达方位  波束空间遗传算法  宽带目标

Wideband targets beam-space DOA estimation based on genetic algorithm
JIN Yong,CHENG Yun-zhi,ZHOU Ke. Wideband targets beam-space DOA estimation based on genetic algorithm[J]. Transducer and Microsystem Technology, 2008, 27(7)
Authors:JIN Yong  CHENG Yun-zhi  ZHOU Ke
Abstract: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.
Keywords:direction of arrival(DOA)  beam-space genetic algorithm  wideband targets
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