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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Veröffentlicht in:Science China. Information sciences Jg. 52; H. 5; S. 835 - 842
Hauptverfasser: Guo, XianSheng, Wan, Qun, Yang, WanLin, Lei, XueMei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Heidelberg SP Science in China Press 01.05.2009
Springer Nature B.V
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ISSN:1009-2757, 1674-733X, 1862-2836, 1869-1919
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Abstract 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.
AbstractList 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.
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.
Author GUO XianSheng WAN Qun YANG WanLin LEI XueMei
AuthorAffiliation Department of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
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  organization: Department of Electronic Engineering, University of Electronic Science and Technology of China
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Cites_doi 10.1049/iet-rsn:20060142
10.1049/ip-rsn:19960170
10.1016/S0165-1684(03)00103-8
10.1360/02yf0520
10.1109/78.414777
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quadric rotational invariance property (QRIP)
direction-of-arrival (DOA)
decoupled estimation
2D coherently distributed source
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Snippet The existing directions-of-arrival (DOAs) estimation methods for two-dimensional (2D) coherently distributed sources need one- or two-dimensional search,...
The existing directions-of-arrival (DOAs) estimation methods for two-dimensional (2D) coherently distributed sources need one- or two-dimensional search, and...
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SubjectTerms 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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