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. |
| Format: | |
| Language: | English |
| Published: |
2001
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| Online Access: |
http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:178435 |