An original full Bayesian approach is developed for blind and semi-blind equalisation of fading channels with Markov inputs. The sequence of discrete symbols is estimated according to a marginal maximum a posteriori criterion; the other unknown parameters are regarded as random nuisance parameters and are integrated out analytically. A batch algorithm is proposed to maximise the marginal posterior distribution. Simulation results are presented to demonstrate the effectiveness of the method.
|Translated title of the contribution||Bayesian Blind and Semi-Blind Equalization of Channels with Markov Inputs|
|Pages (from-to)||269 - 274|
|Number of pages||6|
|Journal||IEE Proceedings - Vision Image & Signal Proceedings|
|Publication status||Published - Aug 2001|
Bibliographical notePublisher: IEE - Inst Elec Eng
Other identifier: IDS number 481LV