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基于遗传算法的宽带目标波束空间DOA估计 被引量：5

Wideband targets beam-space DOA estimation based on genetic algorithm
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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.
作者 金勇 程云志 周柯
机构地区 河南大学先进控制与智能信息研究所
出处 《传感器与微系统》 CSCD 北大核心 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)
关键词 到达方位 波束空间遗传算法 宽带目标 direction of arrival（DOA） beam-space genetic algorithm wideband targets
分类号 TB556 [理学—声学]
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参考文献9

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同被引文献33

  • 1Schmidt R O.Multiple emitter location and signal parame- ter estimation[J].IEEE Trans on AP, 1986,34(3):276-280.
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  • 7Li M, Lu Y.Genetic algorithm based maximum likeli- hood doa estimation[C]//International Rader Conference (RADER2002), 2002 : 502-506.
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  • 9Schmidt R O. Multiple emitter location and signal parameter esti- mation[J]. IEEE Trans on Acoustic Speech and Signal Proce- ssing, 1986,34 (3) :276 -280.
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传感器与微系统
2008年 第7期

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