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基于改进PCA的DOA估计方法 被引量：1

An estimation algorithm for direction of arrival based on a novel PCA technology
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摘要 阵列信号处理中,MUSIC等高分辨率DOA估计方法都要通过特征值分解来获得波达方向估计,然而矩阵特征值分解的计算量较大,不利于实时处理。提出一种改进的PCA(principal component analysis)迭代算法,来逼近信号子空间。仿真实验表明该算法在估计弱信号时性能要比MUSIC算法好,且计算量要小得多。 Many high resolution subspace-based methods like MUSIC estimate the direction of arrival of plane waves impinging on an antenna array via eigendecomposition in array signal processing. However, high computational burden for eigendecomposition makes them unsuitable for real time processing. An iterative approach for tracking the signal subspace based on a novel principal component analysis technique is presented. Simulations show that the proposed algorithm has better performance than MUSIC algorithm when estimating weak signals, and its computational complexity is much smaller.
作者 谢晓红 王华奎 张承瑞 韩静
机构地区 太原理工大学信息工程学院
出处 《航天电子对抗》 2007年第2期47-50,共4页 Aerospace Electronic Warfare
关键词 波达方向 主分量分析 多重信号分类 DOA principal component analysis multiple signal classification （MUSIC）
分类号 TN911.23 [电子电信—通信与信息系统]
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参考文献5

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共引文献5

同被引文献9

  • 1张辉,葛临东,李蒙,吴月娴.多径环境中二维波达方向估计的子空间平滑算法[J].电子学报,2005,33(6):1077-1080. 被引量：10
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  • 9何子述,韩春林,唐斌.一种有效的多径信号DOA估计算法[J].电子学报,2003,31(1):139-141. 被引量：7

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航天电子对抗
2007年 第2期

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