TY - GEN
T1 - Markov chain Monte Carlo detection for underwater acoustic channels
AU - Wan, Hong
AU - Chen, Rong Rong
AU - Choi, Jun Won
AU - Singer, Andrew
AU - Preisig, James
AU - Farhang-Boroujeny, Behrouz
PY - 2010
Y1 - 2010
N2 - In this work, we develop novel statistical detectors to combat intersymbol interference for frequency selective channels based on Markov Chain Monte Carlo (MCMC) techniques. While the optimal maximum a posteriori (MAP) detector has a complexity that grows exponentially with the constellation size and the memory of the channel, the MCMC detector can achieve near optimal performance with a complexity that grows linearly. This makes the MCMC detector particularly attractive for underwater acoustic channels with long delay spread. We examine the effectiveness of the MCMC detector using actual data collected from underwater experiments. When combined with adaptive least mean square (LMS) channel estimation, the MCMC detector achieves superior performance over the direct adaptation LMS turbo equalizers (LMS-TEQ) for a majority of data sets transmitted over distances from 60 meters to 1000 meters.
AB - In this work, we develop novel statistical detectors to combat intersymbol interference for frequency selective channels based on Markov Chain Monte Carlo (MCMC) techniques. While the optimal maximum a posteriori (MAP) detector has a complexity that grows exponentially with the constellation size and the memory of the channel, the MCMC detector can achieve near optimal performance with a complexity that grows linearly. This makes the MCMC detector particularly attractive for underwater acoustic channels with long delay spread. We examine the effectiveness of the MCMC detector using actual data collected from underwater experiments. When combined with adaptive least mean square (LMS) channel estimation, the MCMC detector achieves superior performance over the direct adaptation LMS turbo equalizers (LMS-TEQ) for a majority of data sets transmitted over distances from 60 meters to 1000 meters.
UR - http://www.scopus.com/inward/record.url?scp=77952714746&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952714746&partnerID=8YFLogxK
U2 - 10.1109/ITA.2010.5454145
DO - 10.1109/ITA.2010.5454145
M3 - Conference contribution
AN - SCOPUS:77952714746
SN - 9781424470143
T3 - 2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings
SP - 44
EP - 48
BT - 2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings
T2 - 2010 Information Theory and Applications Workshop, ITA 2010
Y2 - 31 January 2010 through 5 February 2010
ER -