Title :
Maximum-likelihood sequence estimation for fading channels via the EM algorithm
Author :
Han, Jae Choong ; Georghiades, C.N.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
29 Nov-2 Dec 1993
Abstract :
We investigate the use of the expectation-maximization (EM) algorithm to the problem of estimating sequences of two-dimensional constellation signals transmitted over a Rayleigh fading channel. The resulting iterative algorithm does not require a carrier recovery loop, and is shown to have a simple linear form. Simulation results for binary signaling indicate that it performs significantly better than previously proposed algorithms
Keywords :
estimation theory; fading; iterative methods; maximum likelihood estimation; signal processing; telecommunication channels; EM algorithm; Rayleigh fading channel; binary signaling; expectation-maximization algorithm; iterative algorithm; maximum-likelihood sequence estimation; simulation results; two-dimensional constellation signals; Algorithm design and analysis; Data mining; Fading; Frequency; Iterative algorithms; Maximum likelihood estimation; Phase estimation; Phase locked loops; Phase shift keying; Quadrature amplitude modulation;
Conference_Titel :
Global Telecommunications Conference, 1993, including a Communications Theory Mini-Conference. Technical Program Conference Record, IEEE in Houston. GLOBECOM '93., IEEE
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-0917-0
DOI :
10.1109/GLOCOM.1993.318443
