Title :
EM-based sequence estimation for space-time codes systems
Author :
Li, Y. ; Georghiades, C.N. ; Huang, G.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
An EM-based algorithm is introduced for decoding space-time trellis codes without assuming channel knowledge. Its complexity is much smaller than a direct evaluation of the log-likelihood function, and simulation results indicate the receiver achieves a performance close to that of a receiver that knows the channel perfectly
Keywords :
computational complexity; maximum likelihood decoding; maximum likelihood sequence estimation; trellis codes; EM-based algorithm; complexity; decoding; expectation-maximization algorithm; maximum likelihood sequence estimation; simulation results; space-time codes; trellis codes; Convolutional codes; Fading; Maximum likelihood decoding; Maximum likelihood estimation; Receiving antennas; Signal processing; Signal processing algorithms; Space time codes; System performance; Transmitting antennas;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866613
