Abstract
This paper investigates a low-complexity frequency-domain turbo equalization (FDTE) based on linear minimum mean square error (LMMSE) criterion for single-carrier (SC) multiple-input multiple-output (MIMO) underwater acoustic communications (UAC). The receiver incorporates both the equalizer and the decoder which exchange the extrinsic information on the coded bits for each other to implement the iterative detection. The channel impulse responses (CIRs) required in the equalization are estimated in the frequency domain (FD) by inserting the well-designed pilot blocks which are frequency-orthogonal Chu sequences. The proposed SC-MIMO-FDTE architecture is applied to the fixed-to-fixed underwater data gathered during SPACE08 ocean experiments in October 2008, where multiple transducers and hydrophones are deployed in communication ranges of 200m and 1000m, and the channel bandwidth is 9.765625 kHz. The phase shift keying (PSK) signals are transmitted from multiple transducers in various block sizes. The proposed transceiver has been demonstrated to improve the bit-error-rate (BER) performance significantly by processing the QPSK data blocks with block length of 1024 in 200m and 1000m ranges. The average BERs obtained by turbo detection with 3 iterations can achieve approximately 1.4 × 10-4 for the 200m system and 4.4 × 10-5 for the 1000m system.
Recommended Citation
J. Zhang et al., "Frequency-Domain Turbo Equalization for MIMO Underwater Acoustic Communications," Proceedings of Oceans 2009 - EUROPE, Institute of Electrical and Electronics Engineers (IEEE), May 2009.
The definitive version is available at https://doi.org/10.1109/OCEANSE.2009.5278227
Meeting Name
Oceans 2009 - EUROPE
Department(s)
Electrical and Computer Engineering
Sponsor(s)
National Science Foundation (U.S.)
United States. Office of Naval Research
Keywords and Phrases
MIMO Communication; Acoustic Signal Detection; Error Statistics; Frequency-Domain Analysis; Iterative Decoding; Mean Square Error Methods; Quadrature Phase Shift Keying; Underwater Acoustic Communication
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2009 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 May 2009
