Abstract
Multiple-input multiple-output (MIMO) underwater acoustic (UWA) channels introduce both space-time interference (STI) and time-varying phase distortion for transmitted signals. in such cases, the equalized symbols produced by conventional equalizer aiming for STI cancelation suffer phase rotation and thus cannot be reliably detected. in this paper, we propose a new equalization scheme for high data rate single carrier MIMO UWA channels. Different from existing methods employing joint equalization and symbol wise phase tracking technology, the proposed scheme decouples the interference cancelation (IC) operation and the phase compensation operation, leading to a generalized equalizer structure combining an IC equalizer with a phase compensator. the decoupling of the two functionalities leads to robust signal detection, which is most desirable in practical UWA applications. MIMO linear equalizer (LE) is adopted to remove space-time interference, and a groupwise phase estimation and correction method is used to compensate the phase rotation. in addition, the layered space-time processing technology is adopted to enhance the equalization performance. the proposed equalization scheme is tested to be very robust with extensive experimental data collected at Kauai, Hawaii, in September 2005, and Saint Margaret's Bay, Nova Scotia, Canada, in May 2006. © 2010 Jun Tao et al.
Recommended Citation
C. Xiao et al., "Channel Equalization for Single Carrier MIMO Underwater Acoustic Communications," Eurasip Journal on Advances in Signal Processing, vol. 2010, article no. 281769, SpringerOpen; European Association for Signal Processing, Aug 2010.
The definitive version is available at https://doi.org/10.1155/2010/281769
Department(s)
Electrical and Computer Engineering
Publication Status
Open Access
International Standard Serial Number (ISSN)
1687-6180; 1687-6172
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
11 Aug 2010
Comments
National Science Foundation, Grant CCF-0915846