基于DOA矩阵法的矢量传感器阵列二维波达方向估计DOA matrix algorithm for 2-D direction finding estimation with electromagnetic vector sensor arrays
- Other Titles
- DOA matrix algorithm for 2-D direction finding estimation with electromagnetic vector sensor arrays
- Authors
- Ji, Fei; Yu, Hua; Xie, Ze-Ming; Zhang, Jun; Zhu, Yi-Cheng
- Issue Date
- Aug-2008
- Publisher
- Zhongguo Kexueyuan
- Keywords
- DOA estimation; DOA-matrix method; Electromagnetic vector sensor arrays
- Citation
- Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, v.30, no.8, pp 1886 - 1889
- Pages
- 4
- Indexed
- SCOPUS
- Journal Title
- Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
- Volume
- 30
- Number
- 8
- Start Page
- 1886
- End Page
- 1889
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/117825
- DOI
- 10.3724/SP.J.1146.2007.01420
- ISSN
- 1009-5896
- Abstract
- DOA矩阵法是一种二维波达方向估计方法,该方法具有分辩率较高、计算量较少的特点。该文将DOA矩阵法扩展至矢量传感器阵列的波达方向估计,推导出相应的计算公式,分析了算法计算复杂度。算法分析表明,相对于ESPRIT算法,DOA矩阵法计算复杂度大大降低。Monte Carlo仿真结果表明,与ESPRIT算法相比,DOA矩阵法估计的均方根偏差和均方根标准方差相对大一些,所需的最低快拍数也增加。
DOA-matrix method is one of eigenstructure-based algorithms dealing with the estimation of the 2-D Direction-Of-Arrival (DOA) for multiple narrowband sources. In this paper, the DOA-matrix subspace method is extended for DOA estimation with an array of electromagnetic vector sensors. The detailed algorithm is deduced and the algorithm computational complexity is analyzed. Compared with ESPRIT method, this method can decrease much computational complexity. Monte Carlo simulation results show that the RMS bias and the RMS standard deviation from DOA-matrix method are larger than that from ESPRIT method. The DOA-matrix method also needed more snapshots in the simulation.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.