Low-complexity 2D coherently distributed sources decoupled DOAs estimation method

The existing directions-of-arrival （DOAs） estimation methods for two-dimensional （2D） coherently distributed sources need one- or two-dimensional search, and the computational complexities of them are high. In addition, most of them are designed for special angular signal distribution functions. As...

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Bibliographic Details
Published in:Science China. Information sciences 2009-05, Vol.52 (5), p.835-842
Main Authors: Guo, XianSheng, Wan, Qun, Yang, WanLin, Lei, XueMei
Format: Article
Language:English
Subjects:
Coherence
Complexity
Computer Science
Direction of arrival
Distribution functions
Information Systems and Communication Service
Linear arrays
Signal distribution
二维分布
估计方法
分布函数
变质处理
差分吸收光谱
计算复杂性
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Summary:The existing directions-of-arrival （DOAs） estimation methods for two-dimensional （2D） coherently distributed sources need one- or two-dimensional search, and the computational complexities of them are high. In addition, most of them are designed for special angular signal distribution functions. As a result, their performances will degenerate when deal with different sources with different angular signal distribution functions or unknown angular signal distribution functions. In this paper, a low-complexity decoupled DOAs estimation method without searching using two parallel uniform linear arrays （ULAs） is proposed for coherently distributed sources, as well as a novel parameter matching method. It can resolve the problems mentioned above efficiently. Simulation results validate the effectiveness of our approach.
ISSN:1009-2757
1674-733X
1862-2836
1869-1919
DOI:10.1007/s11432-009-0025-9