Please use this identifier to cite or link to this item: https://doi.org/10.1109/26.818883
Title: A matrix-algebraic approach to linear parallel interference cancellation in CDMA
Authors: Guo, D. 
Rasmussen, L.K.
Sun, S. 
Lim, T.J.
Keywords: Code-division multiaccess
Linear algebra
Multiuser channels
Signal detection
Issue Date: 2000
Citation: Guo, D., Rasmussen, L.K., Sun, S., Lim, T.J. (2000). A matrix-algebraic approach to linear parallel interference cancellation in CDMA. IEEE Transactions on Communications 48 (1) : 152-161. ScholarBank@NUS Repository. https://doi.org/10.1109/26.818883
Abstract: In this paper, linear parallel interference cancellation (PIC) schemes are described and analyzed using matrix algebra. It is shown that the linear PIC, whether conventional or weighted, can be seen as a linear matrix filter applied directly to the chip-matched filtered received signal vector. An expression for the exact bit-error rate (BER) is obtained, and conditions on the eigenvalues of the code correlation matrix and the weighting factors to ensure convergence are derived. The close relationship between the linear multistage PIC and the steepest descent method (SDM) for minimizing the mean squared error (MSE) is demonstrated. A modified weighted PIC structure that resembles the SDM is suggested which approaches the minimum MSE (MMSE) detector rather than the decorrelator. It is shown that for a K -user system, only K PIC stages are required for the equivalent matrix filter to be identical to the the MMSE filter. For fewer stages, techniques are devised for optimizing the choice of weights with respect to the MSE. One unique optimal choice of weights is found, which will lead to the minimum achievable MSE at the final stage. Simulation results show that a few stages are sufficient for near-MMSE performance. © 2000 IEEE.
Source Title: IEEE Transactions on Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/112207
ISSN: 00906778
DOI: 10.1109/26.818883
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

97
checked on May 21, 2018

WEB OF SCIENCETM
Citations

85
checked on May 21, 2018

Page view(s)

49
checked on May 18, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.