Direction-of-Arrival and Mutual Coupling Coefficient Estimation With A Single Observation For Arbitrary Array Structures

Elbir, Ahmet M.
Tuncer, Temel Engin
In this paper, single snapshot direction-of-arrival (DOA) estimation under mutual coupling (MC) is considered for arbitrary array structures. A compressed sensing approach is utilized and a joint-sparse recovery algorithm is proposed for DOA and MC coefficient estimation. In this respect, both spatial source directions and MC coefficients are embedded into a joint-sparse vector. A new dictionary matrix is defined using the symmetricity of the MC matrix. The proposed approach does not depend on the structure of MC matrix and it is suitable for any type of array geometry.


Compressed Sensing For Single Snapshot Direction Finding In The Presence of Mutual Coupling
Elbir, Ahmet M.; Tuncer, Temel Engin (2016-05-19)
The estimation of direction-of-arrival (DOA) angles of unknown source locations in the presence of mutual coupling (MC) is an important problem in direction finding applications. While smoothing algorithms can be used for uniform linear arrays with multiple array measurements, they cannot be applied for UCAs. Moreover, array covariance matrix is rank-deficient for single snapshot case and this leads to erroneous estimation results. In this paper, single snapshot DOA estimation in the presence of MC is consi...
Direction finding with a uniform circular array via single snapshot processing
Koc, AT; Tanik, Y (1997-01-01)
In this work a new algorithm for multiple emitter direction finding by using a uniform circular array is proposed. The algorithm is based on single snapshot processing, and therefore, it has no restriction on the coherency of the sources. The problem formulation is based on the transformation of the snapshot. The transformed sequence is formed by taking the discrete Fourier transform of the snapshot and weighting it suitably. It contains the so-called distortion terms, which are taken into account by using ...
Direction of arrival estimation for nonuniform linear arrays by using array interpolation
Tuncer, Temel Engin; Friedlander, B. (2007-07-03)
[1] A new approach is proposed for DOA estimation in nonuniform linear arrays (NLA) based on array interpolation. A Wiener formulation is presented to improve the condition number of the mapping matrix as well as the performance for noisy observations. Noniterative and iterative methods for DOA estimation are proposed. These methods use an initial DOA which is then significantly improved by the subsequent processing. Partially augmentable nonredundant arrays (PANA) and partly filled NLA (PFNLA) are consider...
Direction of arrival estimation by array interpolation in randomly distributed sensor arrays
Akyıldız, Işın; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2006)
In this thesis, DOA estimation using array interpolation in randomly distributed sensor arrays is considered. Array interpolation is a technique in which a virtual array is obtained from the real array and the outputs of the virtual array, computed from the real array using a linear transformation, is used for direction of arrival estimation. The idea of array interpolation techniques is to make simplified and computationally less demanding high resolution direction finding methods applicable to the general...
Elbir, Ahmet M.; Tuncer, Temel Engin (2015-09-04)
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 ...
Citation Formats
A. M. Elbir and T. E. Tuncer, “Direction-of-Arrival and Mutual Coupling Coefficient Estimation With A Single Observation For Arbitrary Array Structures,” 2016, Accessed: 00, 2020. [Online]. Available: