Browsing by Author "Declercq, David"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Bayesian Blind PARAFAC Recievers forDS-CDMA Systems
    (2003-10-01) de Baynast, Alexandre; Declercq, David; De Lathauwer, Lieven; Aazhang, Behnaam; Center for Multimedia Communications (http://cmc.rice.edu/)
    In this paper an original Bayesian approach for blind detec-tion for Code Division Multiple Access (CDMA) Systems in presence of spatial diversity at the receiver is developed. In the noiseless context, the blind detection/identification problem relies on the canonical decomposition (also re-ferred as Parallel Factor analysis [Sidiropoulos, IEEE SP 00], PARAFAC. The author in [Bro,INCINC 96] pro-poses a suboptimal solution in least-squares sense. How-ever, poor performance are obtained in presence of high noise level. The recently emerged Markov chain Monte Carlo (MCMC) signal processing method provide a novel paradigm for tackling this problem. Simulation results are presented to demonstrate the effectiveness of this method.