Joint frequency, 2-D DOA, and polarization estimation using parallel factor analysis

被引：0
|
作者：
JunLi Liang
Ding Liu
JunYing Zhang
机构：
[1] Xi’an University of Technology,School of Computer Science and Engineering
[2] Xi’an University of Technology,School of Automation and Information Engineering
[3] Xidian University,School of Computer
来源：
Science in China Series F: Information Sciences | 2009年 / 52卷
关键词：
array signal processing; cumulant; parallel factor analysis; polarization sensitive array;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper proposes a new algorithm for joint frequency, two-dimensional (2-D) directions-of-arrival (DOA), and polarization estimation using parallel factor (PARAFAC) analysis model and cumulant. The proposed algorithm designs a new array configuration, and extends the PARAFAC analysis model from the common data-domain and subspace-domain to the cumulant one, and forms three-way arrays by using the three cumulant matrices obtained from the properly chosen dipole outputs, and analyzes the uniqueness of low-rank decomposition of the three-way arrays, and then jointly estimates the source parameters via the low-rank decomposition of the constructed PARAFAC model. In comparison with the conventional methods, the proposed method alleviates the aperture loss, and avoids pairing parameter. Finally, the simulation results are presented to validate the performance of the proposed method.
引用
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页码：1891 / 1904
页数：13
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