Name
Abstract | ||
|---|---|---|
The application and performance of a blind adaptive algorithm in a DS-CDMA communication system is considered in this paper. The proposed blind algorithm is a stochastic gradient-based algorithm derived from the standard Least Mean Square (LMS) adaptation algorithm. The algorithm is blind in the sense that information of other users such as the spreading codes, timing, channel information and training is not required. We demonstrate the convergence of the blind algorithm in the mean square error (MSE) sense and derive its steady state MSE. The bit error rate (BER) and MSE performance of the proposed blind algorithm in an asynchronous system are presented. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/PIMRC.2000.881455 | PIMRC |
Keywords | Field | DocType |
AWGN channels,adaptive signal detection,cellular radio,code division multiple access,convergence of numerical methods,error statistics,gradient methods,least mean squares methods,multiuser channels,spread spectrum communication,AWGN channel,BER performance,DS-CDMA communication system,LMS adaptation algorithm,MSE performance,asynchronous CDMA systems,bit error rate,blind adaptive algorithm performance,blind adaptive detection,blind algorithm convergence,cellular mobile network,least mean square adaptation algorithm,mean square error,steady state MSE,stochastic gradient-based algorithm | Least mean squares filter,Asynchronous system,Computer science,Algorithm,Mean squared error,Communication channel,Theoretical computer science,Real-time computing,Adaptive algorithm,Code division multiple access,Blind equalization,Bit error rate | Conference |
Volume | Citations | PageRank |
1 | 3 | 0.51 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. W. Wong | 1 | 3 | 0.51 |
| Tim O'Farrell | 2 | 312 | 31.99 |