DocumentCode :
3616186
Title :
Adaptive soft-input soft-output multiuser detection for coded CDMA systems
Author :
Wei Zhang;C. D´Amours;A. Yongacoglu
Author_Institution :
Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ont., Canada
Volume :
2
fYear :
2004
fDate :
6/26/1905 12:00:00 AM
Firstpage :
1203
Abstract :
The optimum, and many suboptimum, soft-input soft-output (SISO) multiuser detectors require a lot of a priori information about the multiuser system, such as all users´ transmitted waveforms, timing, the channel impulse response, etc. We apply adaptive algorithms in the SISO multiuser detector in order to avoid the need for this a priori information. We propose two adaptive SISO parallel decision feedback detectors based on the normalized least mean square and recursive least squares algorithms for both synchronous and asynchronous CDMA systems, respectively. Compared with traditional non-SISO adaptive detectors, our SISO adaptive detectors effectively exploit the a priori information about coded symbols, which is based on soft inputs from a bank of single user decoders, to further improve their convergence performance. Monte-Carlo simulation results are presented and compared.
Keywords :
"Multiuser detection","Multiaccess communication","Detectors","Least squares methods","Timing","Adaptive algorithm","Feedback","Iterative decoding","Convergence","Communication system security"
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2004. Canadian Conference on
ISSN :
0840-7789
Print_ISBN :
0-7803-8253-6
Type :
conf
DOI :
10.1109/CCECE.2004.1345337
Filename :
1345337
Link To Document :
بازگشت