Polarimetric compressive sensing based DOA estimation
Römer F, Ibrahim M, Alieiev R, Landmann M, Thomä RS, Del Galdo G (2014)
Publication Type: Conference contribution
Publication year: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: WSA 2014; 18th International ITG Workshop on Smart Antennas
Event location: Erlangen, DEU
ISBN: 9783800735846
Abstract
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.
Involved external institutions
Germany (DE)How to cite
APA:
Römer, F., Ibrahim, M., Alieiev, R., Landmann, M., Thomä, R.S., & Del Galdo, G. (2014). Polarimetric compressive sensing based DOA estimation. In WSA 2014; 18th International ITG Workshop on Smart Antennas. Erlangen, DEU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Römer, Florian, et al. "Polarimetric compressive sensing based DOA estimation." Proceedings of the 18th International ITG Workshop on Smart Antennas, WSA 2014, Erlangen, DEU Institute of Electrical and Electronics Engineers Inc., 2014.
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