DocumentCode
2596291
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
fYear
2007
fDate
17-20 Dec. 2007
Firstpage
139
Lastpage
144
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, (ICIT 2007). 10th International Conference on
Conference_Location
Orissa
Print_ISBN
0-7695-3068-0
Type
conf
DOI
10.1109/ICIT.2007.30
Filename
4418284
Link To Document