| 基于改进PCA的DOA估计方法 |
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| 引用本文： | 谢晓红,王华奎,张承瑞,韩静.基于改进PCA的DOA估计方法[J].航天电子对抗,2007,23(2):47-50. |
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| 作者姓名： | 谢晓红 王华奎 张承瑞 韩静 |
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| 作者单位： | 太原理工大学信息工程学院,山西,太原,030024;太原理工大学信息工程学院,山西,太原,030024;太原理工大学信息工程学院,山西,太原,030024;太原理工大学信息工程学院,山西,太原,030024 |
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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.
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| 关 键 词： | 波达方向 主分量分析 多重信号分类 |
| 修稿时间： | 2006年10月13 |
An estimation algorithm for direction of arrival based on a novel PCA technology |
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| Xie Xiaohong,Wang Huakui,Zhang Chengrui,Han Jing.An estimation algorithm for direction of arrival based on a novel PCA technology[J].Aerospace Electronic Warfare,2007,23(2):47-50. |
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| Authors: | Xie Xiaohong Wang Huakui Zhang Chengrui Han Jing |
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| Abstract: | 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. |
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| Keywords: | DOA principal component analysis multiple signal classification(MUSIC) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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