Bidirectional Soft-Decision Feedback Equalization for Robust MIMO Underwater Acoustic Communications
Abstract
An iterative bidirectional soft decision feedback equalizer (Bi-SDFE) is proposed for robust multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications. The proposed Bi-SDFE use a time-reversed soft decision feedback equalizer (SDFE) in conjunction with a normal SDFE to lower the error propagation in severe inter-symbol interference (ISI) channels. The extrinsic information at the equalizer outputs are combined to improve the reliability and reduce the probability of catastrophic performance. Besides, the normalized least mean squares (NLMS) algorithm is adopted to iteratively estimate the MIMO UWA channel for the equalizer. The performance of the proposed algorithm is verified by the SPACE08 experiment. The processing results show that the iterative Bi-SDFE can effectively improve system performance and data efficiency in time varying MIMO UWA channel.
Recommended Citation
W. Duan and Y. R. Zheng, "Bidirectional Soft-Decision Feedback Equalization for Robust MIMO Underwater Acoustic Communications," Proceedings of OCEANS 2014 MTS/IEEE St. John's (2014, St. John's, Canada), vol. 65, Institute of Electrical and Electronics Engineers (IEEE), Sep 2014.
The definitive version is available at https://doi.org/10.1109/OCEANS.2014.7003129
Meeting Name
OCEANS '14 MTS/IEEE St. John's (2014: Sep. 14-19, St. John's, Canada)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Channel estimation; Codes (symbols); Feedback control; Iterative methods; MIMO systems; Telecommunication repeaters; Underwater acoustics; Error propagation; Extrinsic information; Normalized least mean square; Soft decision feedback; Time varying; Time-reversed; Turbo equalizations; Underwater acoustic (UWA) communications; Decision feedback equalizers; Bidirectional soft decision feedback equalizer (Bi-SDFE); Multiple-input-multiple-output (MIMO)
International Standard Book Number (ISBN)
978-1-4799-4918-2
International Standard Serial Number (ISSN)
0197-7385
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Sep 2014