4 May 2016 Sparsity-based extrapolation for direction-of-arrival estimation using co-prime arrays
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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.
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Elie BouDaher, Elie BouDaher, Fauzia Ahmad, Fauzia Ahmad, Moeness G. Amin, Moeness G. Amin, "Sparsity-based extrapolation for direction-of-arrival estimation using co-prime arrays", Proc. SPIE 9857, Compressive Sensing V: From Diverse Modalities to Big Data Analytics, 98570M (4 May 2016); doi: 10.1117/12.2225454; https://doi.org/10.1117/12.2225454
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