Near-optimal multiuser detection in synchronous CDMA using probabilistic data association
2001; IEEE Communications Society; Volume: 5; Issue: 9 Linguagem: Inglês
10.1109/4234.951377
ISSN2373-7891
AutoresJie Luo, Krishna R. Pattipati, Peter Willett, Fumihiro Hasegawa,
Tópico(s)Blind Source Separation Techniques
ResumoA probabilistic data association (PDA) method is proposed in this letter for multiuser detection over synchronous code-division multiple-access (CDMA) communication channels. PDA models the undecided user signals as binary random variables. By approximating the inter-user interference (IUI) as Gaussian noise with an appropriately elevated covariance matrix, the probability associated with each user signal is iteratively updated. Computer simulations show that the system usually converges within three to four iterations, and the resulting probability of error is very close to that of the optimal maximum-likelihood (ML) detector. Further modifications are also presented to significantly reduce the computational cost.
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