Title :
The Baum-Welch algorithm for the detection of time-unsynchronized rectangular PAM signals
Author :
Kaleh, Ghassan Kawas
Author_Institution :
ENST, Paris, France
Abstract :
The theory of hidden-Markov models is used to formulate an iterative method for the joint estimation of timing phase offset and the detection of symbols carried by a time-unsynchronized PAM signal block. Timing phase offset estimation is based on the maximum likelihood criterion. Posterior probabilities of symbols are calculated and used to perform symbol-by-symbol decisions minimizing the symbol error probability
Keywords :
error statistics; hidden Markov models; iterative methods; maximum likelihood estimation; probability; pulse amplitude modulation; signal detection; Baum-Welch algorithm; hidden-Markov models; iterative method; joint estimation; maximum likelihood criterion; posterior probabilities; rectangular PAM signals; signal detection; symbol detection; symbol error probability; symbol-by-symbol decisions; time-unsynchronized signals; timing phase offset; Gaussian noise; Iterative algorithms; Iterative methods; Matched filters; Maximum likelihood detection; Maximum likelihood estimation; Parameter estimation; Phase estimation; Random variables; Timing;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.1994.577027
