DocumentCode
3415870
Title
Factor graph em algorithm for joint channel tracking and MAP detection of MIMO-OFDMA in fading channels
Author
Wu, Sau-Hsuan
Author_Institution
Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
2701
Lastpage
2704
Abstract
Based on the expectation maximization (EM) algorithm, a joint channel tracking and maximal a posteriori symbol detection method is proposed for orthogonal frequency division multiple access systems employing multiple transmit and receive antennas (MIMO). Using the Forney-style factor graph (FFG), a forward-and-backward signal processing method is developed to recursively solve the EM problem for joint estimation and detection (JED) in MIMO fading channels. By proper message scheduling and passing over the FFG, simulations show that the proposed algorithm is effective for joint MIMO channel tracking and symbol detection in fast fading channels.
Keywords
MIMO communication; OFDM modulation; expectation-maximisation algorithm; fading channels; frequency division multiple access; receiving antennas; transmitting antennas; Forney-style factor graph; MAP detection; MIMO fading channels; MIMO-OFDMA; expectation maximization algorithm; factor graph EM algorithm; fast fading channels; forward-and-backward signal processing method; joint MIMO channel tracking; joint detection; joint estimation; maximal a posteriori symbol detection method; message passing; message scheduling; orthogonal frequency division multiple access systems; receive antennas; transmit antennas; Fading; Feedback; MIMO; Multiple access interference; OFDM; Receiving antennas; Recursive estimation; Scheduling algorithm; Signal processing algorithms; Transmitting antennas; EM; Factor Graph; Joint Estimation and Detection; MIMO; OFDM; OFDMA;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4518206
Filename
4518206
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