Doctoral Dissertations
Keywords and Phrases
Adaptive Equalization; Multiple-Input Multiple-Output; Turbo Equalization; Underwater Wireless Communications
Abstract
"This dissertation proposes three low-complexity iterative receiver algorithms for multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications. First is a bidirectional soft-decision feedback Turbo equalizer (Bi-SDFE) which harvests the time-reverse diversity in severe multipath MIMO channels. The Bi-SDFE outperforms the original soft-decision feedback Turbo equalizer (SDFE) while keeping its total computational complexity similar to that of the SDFE. Second, this dissertation proposes an efficient direct adaptation Turbo equalizer for MIMO UWA communications. Benefiting from the usage of soft-decision reference symbols for parameter adaptation as well as the iterative processing inside the adaptive equalizer, the proposed algorithm is efficient in four aspects: robust performance in tough channels, high spectral efficiency with short training overhead, time efficient with fast convergence and low complexity in hardware implementation. Third, a frequency-domain soft-decision block iterative equalizer combined with iterative channel estimation is proposed for the uncoded single carrier MIMO systems with high data efficiency. All the three new algorithms are evaluated by data recorded in real world ocean experiment or pool experiment. Finally, this dissertation also compares several Turbo equalizers in single-input single-output (SISO) UWA channels. Experimental results show that the channel estimation based Turbo equalizers are robust in SISO underwater transmission under harsh channel conditions"--Abstract, page iv.
Advisor(s)
Zheng, Y. Rosa
Committee Member(s)
Moss, Randy Hays, 1953-
Çetinkaya, Egemen K.
Zawodniok, Maciej Jan, 1975-
Cheng, Maggie Xiaoyan
Department(s)
Electrical and Computer Engineering
Degree Name
Ph. D. in Electrical Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Summer 2016
Journal article titles appearing in thesis/dissertation
- Bidirectional soft-decision feedback turbo equalization for MIMO systems
- Efficient adaptive turbo equalization for MIMO underwater acoustic communications
- Block iterative FDE for MIMO underwater acoustic communications
- Experimental evaluation of turbo receivers in single-input single output (SISO) underwater acoustic channels
Pagination
xi, 119 pages
Note about bibliography
Includes bibliographic references.
Rights
© 2016 Weimin Duan, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Subject Headings
MIMO systems -- DesignWireless communication systemsUnderwater acoustics -- Mathematical modelsFeedback control systems
Thesis Number
T 10952
Electronic OCLC #
958280339
Recommended Citation
Duan, Weimin, "Low-complexity iterative receiver algorithms for multiple-input multiple-output underwater wireless communications" (2016). Doctoral Dissertations. 2509.
https://scholarsmine.mst.edu/doctoral_dissertations/2509