Coding for Short Messages in Multipath Underwater Acoustic Communication Channels
This paper applies the full tail-biting (FTB) convolutional codes to short data packets and evaluates their performance in underwater acoustic communication by computer simulation and an ocean experiment. The simulation results for AWGN channels show that the FTB codes achieve the similar bit error rate (BER) performance as the zero-tailing convolutional (ZTC) codes regardless of block lengths, while the direct-truncate convolutional (DTC) codes suffer from BER degradation, specially with short block lengths. Both simulation and ocean experimental results demonstrate that the FTB codes are excellent candidates for underwater acoustic communication systems where short data blocks and strong error correction codes are needed.
M. Behgam et al., "Coding for Short Messages in Multipath Underwater Acoustic Communication Channels," Proceedings of OCEANS 2018 MTS/IEEE (2018, Charleston, SC), Institute of Electrical and Electronics Engineers (IEEE), Oct 2019.
The definitive version is available at https://doi.org/10.1109/OCEANS.2018.8604711
OCEANS 2018 MTS/IEEE Charleston, OCEANS 2018 (2018: Oct. 22-25, Charleston, SC)
Electrical and Computer Engineering
Keywords and Phrases
Circular Viterbi Algorithm; Internet Of Things; Internet Of Underwater Things; Tail-Biting Convolutional Codes; Underwater Acoustic Communications
International Standard Book Number (ISBN)
Article - Conference proceedings
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01 Oct 2019