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SPARSE SUPPORT RECOVERY FOR DOA ESTIMATION IN THE PRESENCE OF MUTUAL COUPLING
Date
2015-09-04
Author
Elbir, Ahmet M.
Tuncer, Temel Engin
Metadata
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Direction-of-arrival (DOA) estimation in the presence of mutual coupling and coherent signals is a hard task for arbitrary sensor arrays including uniform circular array (UCA). While the coherent sources can be resolved using spatial smoothing algorithms for uniform linear and rectangular arrays, it cannot be applied to UCA. In this paper, a new technique is proposed for DOA estimation in UCA using a single snapshot. Joint-sparse recovery algorithm is proposed where the source signal spatial directions and coupling coefficients are embedded into a joint-sparse signal. A dictionary is defined according to restricted isometry and compressed sensing is employed for both DOA and coupling coefficient estimation. It is shown that the proposed method performs better than the alternative sparse recovery techniques.
Subject Keywords
Uniform circular array
,
DOA estimation
,
Multipath
,
Mutual coupling
,
Joint-sparse recovery
,
Compressed sensing
URI
https://hdl.handle.net/11511/54101
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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A. M. Elbir and T. E. Tuncer, “SPARSE SUPPORT RECOVERY FOR DOA ESTIMATION IN THE PRESENCE OF MUTUAL COUPLING,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54101.
