Presentation 2006-07-19
MAP Signal Detection Employing Adaptive Channel Estimation Based on BCJR Algorithm
Songyan WANG, Kazuhiko FUKAWA, Hiroshi SUZUKI,
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Abstract(in English) This report theoretically derives joint processing of the maximum a posteriori (MAP) signal detection with channel estimation by the Kalman filter or the LMS algorithm, for a single-carrier mobile communication on frequency-selective fast fading channels. The proposed receiver consists of (i) a MAP equalizer that jointly performs channel estimation and equalization, and (ii) a MAP decoder for a channel coding. They provide each other with a priori Log-Likelihood Ratio (LLR) and a posteriori LLR of coded bits by iterative processing in order to enhance reliability of the signal detection. To track the fast fading fluctuation, the MAP equalizer estimates the channel impulse responses for every state by the Kalman filter or the LMS algorithm, and then calculates LLR of the coded bits by the Max-Log-MAP algorithm upon the basis of the BCJR algorithms. Computer simulations under a fast multipath fading condition demonstrate that the proposed scheme is much superior in BER performance to conventional ones employing the soft or hard decision feedback channel estimation.
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Keyword(in English) Mobile communication / fast fading / MAP estimation / BCJR algorithm / Kalman filter / LMS algorithm
Paper # RCS2006-70
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Conference Information
Committee RCS
Conference Date 2006/7/12(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) MAP Signal Detection Employing Adaptive Channel Estimation Based on BCJR Algorithm
Sub Title (in English)
Keyword(1) Mobile communication
Keyword(2) fast fading
Keyword(3) MAP estimation
Keyword(4) BCJR algorithm
Keyword(5) Kalman filter
Keyword(6) LMS algorithm
1st Author's Name Songyan WANG
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Kazuhiko FUKAWA
2nd Author's Affiliation Tokyo Institute of Technology
3rd Author's Name Hiroshi SUZUKI
3rd Author's Affiliation Tokyo Institute of Technology
Date 2006-07-19
Paper # RCS2006-70
Volume (vol) vol.106
Number (no) 168
Page pp.pp.-
#Pages 6
Date of Issue