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Proceedings Paper

Sparsity-based extrapolation for direction-of-arrival estimation using co-prime arrays
Author(s): Elie BouDaher; Fauzia Ahmad; Moeness G. Amin
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Paper Abstract

In this paper, we employ a sparsity-based imputation technique to extend the usable portion of the difference coarray of a co-prime array for direction-of-arrival (DOA) estimation. The degrees-of-freedom (DOFs) offered by a co-prime array cannot be fully utilized for subspace-based DOA estimation due to the presence of holes in the corresponding difference coarray. The proposed imputation approach is first employed to fill the holes in the difference coarray, thereby increasing the available DOFs. MUSIC with spatial smoothing is then applied to the combined set of actual and imputed measurements for direction finding. Supporting numerical results are provided that validate the performance enhancements offered by the proposed approach.

Paper Details

Date Published: 4 May 2016
PDF: 6 pages
Proc. SPIE 9857, Compressive Sensing V: From Diverse Modalities to Big Data Analytics, 98570M (4 May 2016); doi: 10.1117/12.2225454
Show Author Affiliations
Elie BouDaher, Villanova Univ. (United States)
Fauzia Ahmad, Villanova Univ. (United States)
Moeness G. Amin, Villanova Univ. (United States)


Published in SPIE Proceedings Vol. 9857:
Compressive Sensing V: From Diverse Modalities to Big Data Analytics
Fauzia Ahmad, Editor(s)

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