Sparsity-based extrapolation for direction-of-arrival estimation using co-prime arrays

Elie BouDaher; Fauzia Ahmad; Moeness G. Amin

doi:10.1117/12.2225454

4 May 2016 Sparsity-based extrapolation for direction-of-arrival estimation using co-prime arrays

Elie BouDaher, Fauzia Ahmad, Moeness G. Amin

Proceedings Volume 9857, Compressive Sensing V: From Diverse Modalities to Big Data Analytics; 98570M (2016) https://doi.org/10.1117/12.2225454
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

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.

Citation Download Citation

Elie BouDaher, Fauzia Ahmad, and 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); https://doi.org/10.1117/12.2225454

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available