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Channel Estimation and Equalization Algorithm for OFDM-Based Underwater Acoustic Communications Systems

Authors:
Mhd Tahssin Altabbaa
Erdal Panayirci

Keywords: Underwater acoustic communications; channel estimation; equalization; detection.

Abstract:
This paper is concerned with a challenging problem of channel estimation and equalization for orthogonal frequency division multiplexing (OFDM) systems in underwater acoustic (UWA) communications in the presence of Rician fading. The ambient noise is modeled as a correlated Gaussain noise. We combine the matching pursuit (MP), for the Doppler shift and the channel path delays estimation, along with the maximum a posteriori (MAP) estimation for the channel path gains and call the resulting algorithm MP-MAP algorithm. As a prior distribution for the sparse complex-valued channel gains, we choose a Rician distribution with unknown means and variances. They are in turn estimated by the maximum likelihood technique. After the channel equalization, detection of data is implemented at the receiver. Computer simulations show that the UWA channel is estimated very effectively and the proposed algorithm exhibits excellent symbol error rate and channel estimation performance.

Pages: 113 to 118

Copyright: Copyright (c) IARIA, 2017

Publication date: July 23, 2017

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-61208-572-2

Location: Nice, France

Dates: from July 23, 2017 to July 27, 2017