Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
SPARSE SUPPORT RECOVERY FOR DOA ESTIMATION IN THE PRESENCE OF MUTUAL COUPLING
Date
2015-09-04
Author
Elbir, Ahmet M.
Tuncer, Temel Engin
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
153
views
0
downloads
Cite This
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
Suggestions
OpenMETU
Core
2-D DOA estimation in case of unknown mutual coupling for multipath signals
Filik, Tansu; Tuncer, Temel Engin (2016-01-01)
In this paper, two dimensional (2-D) direction-of-arrival (DOA) estimation problem in case of unknown mutual coupling and multipath signals is investigated for antenna arrays. A new technique is proposed which uses a special array structure consisting of parallel uniform linear array (PULA). PULA structure is complemented with auxiliary antennas in order to have a structured mutual coupling matrix (MCM). MCM has a symmetric banded Toeplitz structure which allows the application of the ESPRIT algorithm for 2...
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...
Measurement reduction for mutual coupling calibration in DOA estimation
Aksoy, Taylan; Tuncer, Temel Engin (2012-05-17)
Mutual coupling is an important source of error in antenna arrays that should be compensated for super resolution direction-of-arrival (DOA) algorithms, such as Multiple Signal Classification (MUSIC) algorithm. A crucial step in array calibration is the determination of the mutual coupling coefficients for the antenna array. In this paper, a system theoretic approach is presented for the mutual coupling characterization of antenna arrays. The comprehension and implementation of this approach is simple leadi...
Partly-filled nonuniform linear arrays for DOA estimation in multipath signals
Tuncer, Temel Engin; Friedlander, Benjamin (2007-04-20)
Partly-filled nonuniform linear arrays (PFNLA) are presented and DOA estimation problem for multipath signals is investigated. A new approach is proposed for DOA estimation in nonuniform linear arrays (NLA) based on array interpolation. A Wiener formulation is used to improve the condition number of the mapping matrix as well as the performance for noisy observations. An initial DOA estimate is obtained by using the uniform part of the PFNLA. This initial estimate is used in array interpolation and a new co...
Direction-of-Arrival and Mutual Coupling Coefficient Estimation With A Single Observation For Arbitrary Array Structures
Elbir, Ahmet M.; Tuncer, Temel Engin (2016-05-19)
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...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
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.
