| 引用本文: | 于红旗,黄知涛,周一宇,等.一种不需要特征值分解的MUSIC方法.[J].国防科技大学学报,2007,29(4):91-94.[点击复制] |
| YU Hongqi,HUANG Zhitao,ZHOU Yiyu,et al.An Improved MUSIC Algorithm without Eigenvalues Decomposition[J].Journal of National University of Defense Technology,2007,29(4):91-94[点击复制] |
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| 一种不需要特征值分解的MUSIC方法 |
| 于红旗, 黄知涛, 周一宇, 徐欣 |
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(国防科技大学 电子工程学院，湖南 长沙 410073)
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| 摘要: |
| MUSIC方法是空间谱估计中经典的子空间方法。提出了一种构造参考信号的预处理模型，提出了一种适合于MUSIC方法的多级维纳滤波结构。新方法避免了采样数据二阶统计的特征值分解，降低了运算量。仿真结果证明了方法的有效性。 |
| 关键词: 阵列信号处理 多级维纳滤波 MUSIC算法 DOA估计 |
| DOI： |
| 投稿日期：2006-09-18 |
| 基金项目:国家自然科学基金资助项目(60502040) |
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| An Improved MUSIC Algorithm without Eigenvalues Decomposition |
| YU Hongqi, HUANG Zhitao, ZHOU Yiyu, XU Xin |
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(College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| MUSIC algorithm is a classic subspace method for spatial spectrum estimation. In this paper, a pretreatment model is presented to construct the reference signal. The configuration of the multi-stage Wiener filter that is fit for MUSIC algorithm is proposed. Due to avoiding eigenvalue decomposition of the sampling data autocorrelation, the new method has less computational complexity. Simulation results demonstrate the effectiveness of the new method. |
| Keywords: array signal processing multi-stage Wiener filter multiple signal classification algorithm direction-of-arrival estimation |
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