Maximumlikelihood sequence estimation of digital signals transmitted over timedispersive channels
Abstract
Three aspects of maximum likelihood sequence estimation (MLSE) of binary data are treated. First, tight upper and lower bounds on the probability of error are obtained fo MLSE of binary data transmitted over a Rayleigh fading multipath channel with diversity. Second, a number of algorithm for reducing the computational complexity of MLSE are compared on the basis of their probability of error. Finally, the effects of quantization and rounding encountered in a digital implementation of MLSE, with fixed point arithmetic, are assessed for two simple channel models.
 Publication:

Final Report Northeastern Univ
 Pub Date:
 August 1976
 Bibcode:
 1976neu..rept.....P
 Keywords:

 Data Transmission;
 Maximum Likelihood Estimates;
 Algorithms;
 Monte Carlo Method;
 Probability Density Functions;
 Signal To Noise Ratios;
 White Noise;
 Communications and Radar