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MP-SAGE channel estimation for underwater cooperative OFDM systems

Title	MP-SAGE channel estimation for underwater cooperative OFDM systems
Author	Erdogan, M., Şenol, H., Panayırcı, E., Uysal, Murat
Publication Date:	2013
Subject	Underwater acoustic channel estimation, Gaussian mixture model, AF-OFDM, MP-SAGE
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	2165-0608
Record ID	cf54200d-544f-4eec-9f8f-147eeeafa9eb
Library Location	Electrical & Electronics Engineering
Date	2013
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	In this paper, an efficient channel estimation algorithm is proposed for amplify-and-forward (AF) cooperative relay based orthogonal frequency division multiplexing (OFDM) system in the presence of sparse underwater acoustic channels and of the correlative non-Gaussian noise. The algorithm is based on the combinations of the matching pursuit (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 Gaussian mixture noise distribution parameters in an iterative way. Computer simulations show that underwater acoustic channel is estimated very effectively and the proposed algorithm has excellent symbol error rate (SER) and channel estimation performance, as compared to the existing ones.
DOI	10.1109/SIU.2013.6531271

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Özyeğin University

MP-SAGE channel estimation for underwater cooperative OFDM systems

Author Erdogan, M., Şenol, H., Panayırcı, E., Uysal, Murat

Publication Date 2013

Subject Underwater acoustic channel estimation, Gaussian mixture model, AF-OFDM, MP-SAGE

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 2165-0608

Record ID cf54200d-544f-4eec-9f8f-147eeeafa9eb

Library Location Electrical & Electronics Engineering

Date 2013

Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Sample Text In this paper, an efficient channel estimation algorithm is proposed for amplify-and-forward (AF) cooperative relay based orthogonal frequency division multiplexing (OFDM) system in the presence of sparse underwater acoustic channels and of the correlative non-Gaussian noise. The algorithm is based on the combinations of the matching pursuit (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 Gaussian mixture noise distribution parameters in an iterative way. Computer simulations show that underwater acoustic channel is estimated very effectively and the proposed algorithm has excellent symbol error rate (SER) and channel estimation performance, as compared to the existing ones.

DOI 10.1109/SIU.2013.6531271