Title :
Sequence Estimation over Finite-State Markov Channel via the Expectation Maximization Algorithm
Author :
Dey, Anup ; Das, Tamal
Author_Institution :
Kalyani Govt. Engg. Coll., Kalyani
Abstract :
In this work, we study the application of expectation maximization (EM) algorithm for maximum likelihood sequence estimation (MLSE) over a fading channel which is represented by a finite state Markov chain. The proposed sequence estimation scheme is evaluated for a finite state Markov channel (FSMC) in various channel conditions in the presence of additive white Gaussian noise (AWGN) through computer simulation. The error performance of the method is also discussed.
Keywords :
AWGN; Markov processes; expectation-maximisation algorithm; fading channels; maximum likelihood sequence estimation; additive white Gaussian noise; expectation maximization algorithm; fading channel; finite state Markov chain; finite state Markov channel; maximum likelihood sequence estimation; AWGN; Fading; Gaussian noise; Information technology; Markov processes; Maximum likelihood detection; Maximum likelihood estimation; Rayleigh channels; State estimation; Time varying systems;
Conference_Titel :
Information Technology, (ICIT 2007). 10th International Conference on
Conference_Location :
Orissa
Print_ISBN :
0-7695-3068-0
DOI :
10.1109/ICIT.2007.30
