Polarimetric Compressive Sensing Based DOA Estimation

Konferenz: WSA 2014 - 18th International ITG Workshop on Smart Antennas
12.03.2014 - 13.03.2014 in Erlangen, Germany

Tagungsband: ITG-Fb. 247: WSA 2014

Seiten: 8Sprache: EnglischTyp: PDF

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Roemer, Florian; Ibrahim, Mohamed; Alieiev, Roman; Landmann, Markus; Thomae, Reiner S.; Galdo, Giovanni Del (Ilmenau University of Technology, Institute for Information Technology, Germany)

In this paper, we discuss direction of arrival (DOA) estimation based on the full polarimetric array manifold using a Compressive Sensing (CS)-based formulation. We first show that the existing non-polarimetric CS-based description of the DOA estimation problem can be extended to the polarimetric setting, giving rise to an amplitude vector that possesses a structured sparsity. We explain how DOAs can be estimated from this vector for incoming waves of arbitrary polarization. We then discuss the “gridding” problem, i.e., the effect of DOAs that are not on the sampling grid which was chosen for the discretization of the array manifold. We propose an estimator of these grid offsets which extends earlier work to the polarimetric setting. Numerical results demonstrate that the proposed scheme can achieve a DOA estimation accuracy close to the Cramér-Rao Bound for arbitrarily polarized waves.