Title :
Blind turbo multiuser detection for long-code uplink CDMA with unknown interferences
Author :
Yang, Zigang ; Wang, Xiaodong
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
We consider the problem of demodulating the multiuser symbols in an uplink long-code CDMA system in the presence of unknown out-cell multiple-access interference and narrowband interference. A novel blind Bayesian multiuser detector is derived based on the Bayesian inference of all unknown quantities. The Gibbs sampler, a Markov chain Monte Carlo (MCMC) procedure, is then used for Bayesian computation. Being soft-input and soft-output, the blind Bayesian multiuser detector is designed to be a part of a turbo multiuser receiver, which refines its processing based on the information from the decoding stage
Keywords :
Bayes methods; Markov processes; Monte Carlo methods; channel coding; code division multiple access; decoding; demodulation; multiuser channels; signal detection; turbo codes; Bayesian inference; Gibbs sampler; MCMC procedure; Markov chain Monte Carlo procedure; blind Bayesian detector; demodulation; multiple-access interference; multiuser symbols; narrowband interference; soft-input soft-output detector; turbo decoding; unknown out-cell interference; uplink long-code CDMA; Bayesian methods; Delay; Detectors; Gaussian noise; Matched filters; Multiaccess communication; Multipath channels; Multiple access interference; Multiuser detection; Narrowband;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940460