Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ITA.2010.5454145 | ITA |
Keywords | Field | DocType |
optimal maximum a posteriori detector,underwater acoustic channels,long delay spread,markov chain monte carlo detection,maximum likelihood detection,adaptive least mean square channel estimation,least mean squares methods,acoustic signal detection,monte carlo methods,frequency selective channels,statistical detectors,markov processes,underwater sound,intersymbol interference,channel estimation,underwater acoustics,data collection,least mean square,detectors,least squares approximation,markov chain monte carlo | Least mean squares filter,Monte Carlo method,Intersymbol interference,Mathematical optimization,Markov process,Markov chain Monte Carlo,Computer science,Delay spread,Algorithm,Speech recognition,Maximum a posteriori estimation,Detector | Conference |
ISBN | Citations | PageRank |
978-1-4244-7014-3 | 5 | 0.57 |
References | Authors | |
4 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Wan | 1 | 223 | 28.27 |
| Rong-Rong Chen | 2 | 70 | 10.31 |
| Jun Won Choi | 3 | 307 | 34.04 |
| Andrew C. Singer | 4 | 1224 | 104.92 |
| James C. Preisig | 5 | 612 | 54.23 |
| Behrouz Farhang-Boroujeny | 6 | 972 | 84.30 |