Adaptive receiver algorithms for near-far resistant CDMA
- 2 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Adaptive receiver algorithms are considered for the demodulation of code-division multiple-access (CDMA) signals. These algorithms include neural-network based algorithms and algorithms adapted from linear channel equalization techniques. Convergence issues are treated, and the performance of various algorithms is compared via computer simulations.<>Keywords
This publication has 7 references indexed in Scilit:
- An introduction to computing with neural netsIEEE ASSP Magazine, 1987
- Minimum probability of error for asynchronous Gaussian multiple-access channelsIEEE Transactions on Information Theory, 1986
- Convergence in distribution of LMS-type adaptive parameter estimatesIEEE Transactions on Automatic Control, 1983
- Analysis of error-gradient adaptive linear estimators for a class of stationary dependent processesIEEE Transactions on Information Theory, 1982
- Lyapunov techniques for the exponential stability of linear difference equations with random coefficientsIEEE Transactions on Automatic Control, 1980
- Stationary and nonstationary learning characteristics of the LMS adaptive filterProceedings of the IEEE, 1976
- Adaptive linear estimation for stationary M-dependent processesIEEE Transactions on Information Theory, 1975