Spatial Differencing Method for DOA Estimation Under the Coexistence of Both Uncorrelated and Coherent Signals

Direction-of-arrival (DOA) estimation is an important problem in array signal processing. An effective spatial differencing method is addressed, for the DOA estimation problem of a number of uncorrelated and coherent narrowband signals simultaneously impinging on the far field of a uniform linear ar...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2012-04, Vol.60 (4), p.2052-2062
Main Authors: Liu, Fulai, Wang, Jinkuan, Sun, Changyin, Du, Ruiyan
Format: Article
Language:English
Subjects:
Antennas
Applied sciences
Array signal processing
Arrays
Coherence
coherent signals
Covariance matrix
Direction of arrival estimation
direction-of-arrival (DOA)
Estimation
Exact sciences and technology
Far fields
Linear arrays
Narrowband
Radiocommunications
Sensors
Signal resolution
Simulation
Smoothing methods
spatial differencing
Subspace methods
Telecommunications
Telecommunications and information theory
uniform linear array (ULA)
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Summary:Direction-of-arrival (DOA) estimation is an important problem in array signal processing. An effective spatial differencing method is addressed, for the DOA estimation problem of a number of uncorrelated and coherent narrowband signals simultaneously impinging on the far field of a uniform linear array (ULA). In the proposed method, the uncorrelated sources are firstly estimated using conventional subspace methods, and then they are eliminated by exploiting the spatial differencing technique, that is, only coherent components remain in the spatial differencing matrix. Finally, the remaining coherent signals are estimated by utilizing the spatial differencing matrix. Compared with the previous works, the presented method can improve the DOA estimation accuracy, as well as increase the maximal number of detectable signals. The theoretical analysis and simulation results confirm the effectiveness of the method.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2012.2186216