Title :
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
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;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866630
