DocumentCode :
3615733
Title :
A sequential Monte Carlo algorithm for blind timing recovery and data detection
Author :
J. Miguez;M.F. Bugallo;P.M. Djuric
Author_Institution :
Dept. Electronica e Sistemas, Univ. da Coruna, Spain
fYear :
2003
fDate :
6/25/1905 12:00:00 AM
Firstpage :
580
Lastpage :
584
Abstract :
Synchronization algorithms play a vital role in digital transmission. Optimal estimation of the typical synchronization parameters (timing, carrier frequency offset and carrier phase offset) is analytically intractable in most practical cases and, consequently, most existing synchronization methods are either heuristic or based on approximate maximum likelihood (ML) arguments. We introduce a novel blind algorithm for asymptotically optimal timing recovery and data detection. The method is derived within a Bayesian estimation framework, it does not require the transmission of pilot symbols (hence the term "blind") and is implemented via the sequential Monte Carlo (SMC) methodology. SMC techniques are simulation-based methods that have recently gained popularity because they provide an excellent tool for solving a wide range of estimation problems which do not admit analytical solutions.
Keywords :
"Monte Carlo methods","Timing","Frequency synchronization","Frequency estimation","Maximum likelihood estimation","Sliding mode control","Phase estimation","Maximum likelihood detection","Bayesian methods","Analytical models"
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2003. SPAWC 2003. 4th IEEE Workshop on
Print_ISBN :
0-7803-7858-X
Type :
conf
DOI :
10.1109/SPAWC.2003.1319027
Filename :
1319027
Link To Document :
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