Signal Eigenvector Decomposition and Direction of Arrival Estimation

Liu Qingguang

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Signal Eigenvector Decomposition and Direction of Arrival Estimation

更新时间：2025-12-08

- Signal Eigenvector Decomposition and Direction of Arrival Estimation
- Acta Electronica Sinica Issue 1, Pages: 8-14(1993)
- 作者机构：
  
  1.   清华大学电子工程系
  2.   西安交通大学信控系北京 100084
  3.   西安 710049
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1993
- 稿件说明：
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[1]刘青光,邹理和.信号特征向量分解与到达波方向估计[J].电子学报,1993(01):8-14.

Liu Qingguang. Signal Eigenvector Decomposition and Direction of Arrival Estimation[J]. Acta Electronica Sinica, 1993, (1): 8-14.
[1]刘青光,邹理和.信号特征向量分解与到达波方向估计[J].电子学报,1993(01):8-14. DOI：

Liu Qingguang. Signal Eigenvector Decomposition and Direction of Arrival Estimation[J]. Acta Electronica Sinica, 1993, (1): 8-14. DOI：

摘要

本文提出了到达波方向（DOA）估计的一种新算法。基于信号特征向量分解的一种唯一形式

我们提出了用递推算法来实现由一个或几个信号特征向量进行DOA估计。与一般的特征结构法相比

该方法不但可以解决相干源问题而且改善了在低信噪比情况下的估计性能

并具有使用灵活的特点。计算机仿真证实了上述结论。

Abstract

In this paper

a new algorithm for direction of arrival （DOA） estimation is presented. Based on the unique decomposition of signal eigenvectors

we use one or more signal eigenvectors to estimate DOAs by an iterative algorithm. Compared to eigenstructure method

the paper’s algorithm is valid for any cases whether the sources are coherent or not. It also has a significant improvememt in estimate performance at low SNR and has a more flexible form for implementation. Computer simulations have shown the effectiveness of the algorithm.

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