Linear Prediction Approach for Blind Multiuser Detection in Multicarrier CDMA Systems

Download or read book Linear Prediction Approach for Blind Multiuser Detection in Multicarrier CDMA Systems written by and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Multicarrier CDMA has emerged recently as a promising candidate for the next generation broad-band mobile networks. Since multicarrier CDMA combines the multicarrier technique and the spread-spectrum CDMA technique, many multiuser detection methods used in DS-CDMA can be applied to multicarrier CDMA system. In this thesis, we propose a direct blind multiuser detection method for multicarrier CDMA based on linear prediction. Using only the spreading code of the desired user, we extract the column vector subspace corresponding to the signal of interest from the channel matrix of the received complex signal. And then zero-forcing (ZF) and minimum mean square error (MMSE) detectors are constructed. Our algorithms do not require channel estimation and avoid the channel estimation error. Simulations show that in most conditions, our algorithms outperform the typical subspace-based algorithm and the eigen-method used in a multicarrier system.