Sparse channel estimation for OFDM-based underwater cooperative systems with amplify-and-forward relaying

Habib Şenol, Erdal Panayirci, Murat Uysal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper is concerned with a challenging problem of channel estimation for amplify-and-forward cooperative relay based orthogonal frequency division multiplexing (OFDM) systems in the presence of sparse underwater acoustic channels and of the correlative non-Gaussian noise. We exploit the sparse structure of the channel impulse response to improve the performance of the channel estimation algorithm, due to the reduced number of taps to be estimated. The resulting novel algorithm initially estimates the overall sparse channel taps from the source to the destination as well as their locations using the matching pursuit (MP) approach. The correlated non-Gaussian effective noise is modeled as a Gaussian mixture. Based on the Gaussian mixture model, an efficient and low complexity algorithm is developed based on the combinations of the MP and the space-alternating generalized expectation-maximization (SAGE) technique, to improve the estimates of the channel taps and their location as well as the noise distribution parameters in an iterative way. The proposed SAGE algorithm is designed in such a way that, by choosing the admissible hidden data properly on which the SAGE algorithm relies, a subset of parameters is updated for analytical tractability and the remaining parameters for faster convergence Computer simulations show that underwater acoustic (UWA) channel is estimated very effectively and the proposed algorithm has excellent symbol error rate and channel estimation performance.

Original languageEnglish (US)
Title of host publication2014 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2014
PublisherIEEE Computer Society
Pages6-10
Number of pages5
ISBN (Print)9781479940677
DOIs
StatePublished - 2014
Event2014 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2014 - Chisinau, Moldova, Republic of
Duration: May 27 2014May 30 2014

Publication series

Name2014 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2014

Conference

Conference2014 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2014
Country/TerritoryMoldova, Republic of
CityChisinau
Period5/27/145/30/14

ASJC Scopus subject areas

  • Computer Networks and Communications

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