Graduate School and Research Center in Digital Sciences

A comparative study of sparse recovery and compressed sensing algorithms with application to AoA estimation

Bazzi, Ahmad; Slock, Dirk T.M; Meilhac, Lisa; Panneerselvan, Swarnalathaa

SPAWC 2016, 17th International IEEE Workshop on Signal Processing Advances in Wireless Communications, July 3-6, 2016, Edinburgh, UK

We investigate the performance of some sparse recovery and compressed sensing algorithms when applied to the Angle-of-Arrival (AoA) estimation problem. In particular, we review three different approaches in compressed sensing, namely Pursuit-type, Thresholding-type, and Bayesian-based algorithms. The compressed sensing algorithms reviewed herein are of vast interest when applied to AoA estimation problems because of their ability to resolve sources with a single snapshot and without prior knowledge of the number of sources. We compare the performance of these algorithms in terms of Mean-Square Error (MSE) through simulations.

Document Doi Bibtex

Title:A comparative study of sparse recovery and compressed sensing algorithms with application to AoA estimation
Keywords:Angle-of-Arrival Estimation, Compressed sensing, Sparse recovery, Pursuit, Thresholding, Bayesian
Type:Invited paper in a conference
Language:English
City:Edinburgh
Country:UNITED KINGDOM
Date:
Department:Communication systems
Eurecom ref:4888
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Bibtex: @inproceedings{EURECOM+4888, doi = {http://dx.doi.org/10.1109/SPAWC.2016.7536780}, year = {2016}, title = {{A} comparative study of sparse recovery and compressed sensing algorithms with application to {A}o{A} estimation}, author = {{B}azzi, {A}hmad and {S}lock, {D}irk {T}.{M} and {M}eilhac, {L}isa and {P}anneerselvan, {S}warnalathaa}, booktitle = {{SPAWC} 2016, 17th {I}nternational {IEEE} {W}orkshop on {S}ignal {P}rocessing {A}dvances in {W}ireless {C}ommunications, {J}uly 3-6, 2016, {E}dinburgh, {UK}}, address = {{E}dinburgh, {UNITED} {KINGDOM}}, month = {07}, url = {http://www.eurecom.fr/publication/4888} }
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