2-D DOA estimation in case of unknown mutual coupling for multipath signals

Filik, Tansu
Tuncer, Temel Engin
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-D paired DOA estimation. The advantage of the PULA structure is exploited by dividing it into overlapping linear sub-arrays (triplets) and spatial smoothing is employed to mitigate multipath signals. Closed form expressions are presented for search-free, paired and unambiguous 2-D DOA estimation. Two algorithms PULA-1 and PULA-2 are proposed to effectively solve the problem. Several simulations are done and the accuracy of the proposed solution is shown.


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...
Filik, Tansu; Tuncer, Temel Engin (2011-06-01)
Pairing problem for the azimuth and elevation angles of multiple sources is an important problem in two dimensional (2-D) direction-of-arrival (DOA) estimation. In this paper, a new technique is proposed for fast and automatically paired 2-D DOA estimation. This technique uses the magnitude and phase of the eigenvalues of the rotational transformation matrix of the ESPRIT algorithm. A special array geometry is chosen in order to take advantage of the ESPRIT method. The proposed technique is used in two diff...
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...
2-D DOA and mutual coupling coefficient estimation for arbitrary array structures with single and multiple snapshots
Elbir, Ahmet M.; Tuncer, Temel Engin (2016-07-01)
Direction-of-arrival (DOA) estimation for arbitrary array structures in the presence of mutual coupling (MC) is an important problem for antenna arrays. Previous methods in the literature are usually proposed for certain array geometries and show limited performance at low SNR or for small number of snapshots. In this paper, compressed sensing is used to exploit the joint-sparsity of the array model to estimate both DOA and MC coefficients with a single snapshot for an unstructured array where the antennas ...
Design and evaluation of V-shaped arrays for 2-D DOA estimation
Filik, Tansu; Tuncer, Temel Engin (2008-04-04)
A new method for optimum design of V-shaped arrays is presented for azimuth and elevation angle estimation simultaneously. The design criterion is based on the Cramer-Rao Bound (CRB) for joint estimation where the coupling effect between the azimuth and elevation direction of arrival (DOA) angles is taken into account. The design method finds an optimum angle between the linear sub-arrays of the V-array. The computation of the optimum angle is simple due to the monotonic characteristics of the best and wors...
Citation Formats
T. Filik and T. E. Tuncer, “2-D DOA estimation in case of unknown mutual coupling for multipath signals,” MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, pp. 69–86, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56962.