MAP sequence estimation for fading ISI channels.
In this paper we first describe a Maximum A Posterior (MAP) based sequence estimation approach for unknown, fast fading, frequency selective digital communications channels. The approach incorporates prior probabilistic knowledge of the channel via a stochastic channel model. We then assume a first order Gauss-Markov channel model to derive a specific MAP estimator, and we describe a Per Survivor Processing (PSP) algorithm as a realistic approximation of the optimum estimator. Monte Carlo simulations results are then presented: first to illustrate the performance realized when incorporating prior channel knowledge and its dependence on channel fading rate; and second to study the sensitivity of this MAP estimator to inaccuracies in the assumed values of parameters of the Gauss-Markov model.
|Main Author:||Chen, H.|
|Other Authors:||Perry, R., Buckley, K.|