Iterative decoding of robust analog product codes

Avi Zanko, Amir Leshem, Ephraim Zehavi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, a new robust analog error correcting code with an iterative decoder is proposed for real-valued signals corrupted by impulsive noises (sparse signal) in the presence of small additive noise affecting all the entries of the received signal. In each iteration of the algorithm, the problem of decoding the long block code is decoupled into a set of parallel LASSO subproblems in order to locate the impulsive errors. Then, the information is decoded by solving the appropriate least squares (LS) problem. Under the almost sparse noise model, simulation results show that the proposed algorithm exhibits little loss compared to the ideal least squares when the impulsive noises are perfectly known at the receiver.

Original languageEnglish
Title of host publication2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959877
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel
Duration: 3 Dec 20145 Dec 2014

Publication series

Name2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

Conference

Conference2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Country/TerritoryIsrael
CityEilat
Period3/12/145/12/14

Bibliographical note

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