Linear parallel interference cancellation using fixed weighting factors for long-code CDMA

Author

Guo, Dongning ; Rasmussen, Lars K.

Author_Institution

Dept. of Electr. Eng., Princeton Univ., NJ, USA

fYear

2000

fDate

2000

Firstpage

332

Abstract

Linear weighted multistage parallel interference cancellation (PIC) implements exactly the family of polynomial expansion detectors. For long-code CDMA, a set of optimal weights is found which minimizes the ensemble averaged mean squared error (MSE) over random codes. The weights are dependent on moments of the eigenvalues of the correlation matrix, where exact expressions are derived. The loss incurred by averaging rather than using the optimal, time-varying weights is practically negligible

Keywords

code division multiple access; correlation methods; eigenvalues and eigenfunctions; interference suppression; matrix algebra; mean square error methods; polynomials; radiofrequency interference; random codes; signal detection; MSE; averaged mean squared error minimisation; correlation matrix; eigenvalues; exact expressions; fixed weighting factors; linear parallel interference cancellation; linear weighted multistage interference cancellation; long-code CDMA; optimal time-varying weights; optimal weights; polynomial expansion detectors; random codes; AWGN; Computer errors; Concurrent computing; Detectors; Eigenvalues and eigenfunctions; Interference cancellation; Matched filters; Multiaccess communication; Polynomials; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 2000. Proceedings. IEEE International Symposium on

Conference_Location

Sorrento

Print_ISBN

0-7803-5857-0

Type

conf

DOI

10.1109/ISIT.2000.866630

Filename

866630