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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Vydáno v:Science China. Information sciences Ročník 52; číslo 5; s. 835 - 842
Hlavní autoři: Guo, XianSheng, Wan, Qun, Yang, WanLin, Lei, XueMei
Médium: Journal Article
Jazyk:angličtina
Vydáno: Heidelberg SP Science in China Press 01.05.2009
Springer Nature B.V
Témata:
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
uniform linear array
quadric rotational invariance property (QRIP)
direction-of-arrival (DOA)
decoupled estimation
2D coherently distributed source
ISSN:1009-2757, 1674-733X, 1862-2836, 1869-1919
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Popis
Shrnutí: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.
Bibliografie:TP13
2D coherently distributed source, uniform linear array, direction-of-arrival （DOA）, decoupled estimation, quadric rotational invariance property （QRIP）
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ISSN:1009-2757
1674-733X
1862-2836
1869-1919
DOI:10.1007/s11432-009-0025-9