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Linear Prediction Approach for Blind Multiuser Detection in Multicarrier CDMA Systems

Abstract Details

2002, MS, University of Cincinnati, Engineering : Electrical Engineering.
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.
Dr. Howard Fan (Advisor)
74 p.

Recommended Citations

Citations

  • Qin, Q. (2002). Linear Prediction Approach for Blind Multiuser Detection in Multicarrier CDMA Systems [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1034355893

    APA Style (7th edition)

  • Qin, Qin. Linear Prediction Approach for Blind Multiuser Detection in Multicarrier CDMA Systems. 2002. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1034355893.

    MLA Style (8th edition)

  • Qin, Qin. "Linear Prediction Approach for Blind Multiuser Detection in Multicarrier CDMA Systems." Master's thesis, University of Cincinnati, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1034355893

    Chicago Manual of Style (17th edition)