DocumentCode :
2460768
Title :
Iterative MAP Multi-User OFDM over Rapidly-Varying Frequency-Selective Channels
Author :
Ketseoglou, Thomas ; Tom, Andrew
Author_Institution :
ECE Dept., California State Polytech. Univ., Pomona, CA
fYear :
2006
fDate :
Oct. 29 2006-Nov. 1 2006
Firstpage :
1772
Lastpage :
1776
Abstract :
In this paper, we introduce an Expectation Maximization (EM) based iterative multi-user OFDM detector, the detector works in tandem with an a posteriori probability (APP) channel decoder to form a Turbo processor, suitable for use in a rapidly changing multi- path fading environment. The system uses spatial diversity at the receiver, by employing a number of uncorrected (independent) antennas. The normalized Doppler frequencies are in the order of 0.02 to 0.04, i.e. fast changing channel conditions. The system uses a single pilot slot every 10 - 15 slots, for initial channel estimation (acquisition) per user, so only minimal overhead is required. We show that this configuration achieves very high gains first by virtue of the EM detector that simultaneously detects user data and tracks the channel changes, and second by employing the APP decoder, while at the same time it converges very closely to the ideal, perfect channel side information receiver.
Keywords :
OFDM modulation; channel coding; channel estimation; diversity reception; expectation-maximisation algorithm; fading channels; iterative decoding; maximum likelihood decoding; maximum likelihood detection; multipath channels; multiuser detection; turbo codes; aposteriori probability channel decoder; channel side information receiver; expectation maximization; iterative MAP multiuser OFDM detector; multipath fading frequency-selective channel estimation; normalized Doppler frequency; spatial diversity; turbo processor; Bandwidth; Bit error rate; Channel estimation; Detectors; Error analysis; Fading; Iterative decoding; Least squares approximation; OFDM; Receiving antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2006.355066
Filename :
4176876
Link To Document :
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