Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7274
Title: Perturbed Orthogonal Matching Pursuit
Authors: Teke, Oğuzhan
Gürbüz, Ali Cafer
Arıkan, Orhan
Keywords: Compressive sensing
basis perturbation
basis mismatch
perturbed OMP
Issue Date: 2013
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Abstract: Compressive Sensing theory details how a sparsely represented signal in a known basis can be reconstructed with an underdetermined linear measurement model. However, in reality there is a mismatch between the assumed and the actual bases due to factors such as discretization of the parameter space defining basis components, sampling jitter in A/D conversion, and model errors. Due to this mismatch, a signal may not be sparse in the assumed basis, which causes significant performance degradation in sparse reconstruction algorithms. To eliminate the mismatch problem, this paper presents a novel perturbed orthogonal matching pursuit (POMP) algorithm that performs controlled perturbation of selected support vectors to decrease the orthogonal residual at each iteration. Based on detailed mathematical analysis, conditions for successful reconstruction are derived. Simulations show that robust results with much smaller reconstruction errors in the case of perturbed bases can be obtained as compared to standard sparse reconstruction techniques.
URI: https://doi.org/10.1109/TSP.2013.2283840
https://hdl.handle.net/20.500.11851/7274
ISSN: 1053-587X
1941-0476
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

SCOPUSTM   
Citations

47
checked on Sep 23, 2022

WEB OF SCIENCETM
Citations

43
checked on Sep 24, 2022

Page view(s)

6
checked on Dec 26, 2022

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.