Adaptivity in multiple-access communications

Author

Poor, H. Vincent

Author_Institution

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

Volume

1

fYear

1995

Firstpage

835

Abstract

Adaptive signal processing problems that arise in multiple-access communication applications are reviewed. In particular, adaptive filtering techniques for the mitigation of both multiple-access and narrowband interferences are considered, as well as adaptive techniques based on parameter estimation. A broad spectrum of methodologies that have been brought to bear on these problems is described, including adaptive linear filtering, neural networks, stochastic approximation, the EM algorithm, and nonlinear filtering

Keywords

adaptive filters; adaptive signal processing; interference suppression; multi-access systems; neural nets; nonlinear filters; parameter estimation; EM algorithm; adaptive linear filtering; adaptive signal processing; multi-access communications; multiple-access communications; narrowband interferences; neural networks; nonlinear filtering; parameter estimation; stochastic approximation; Adaptive filters; Adaptive signal processing; Approximation algorithms; Maximum likelihood detection; Multiple access interference; Narrowband; Neural networks; Parameter estimation; Signal processing algorithms; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1995., Proceedings of the 34th IEEE Conference on

ISSN

0191-2216

Print_ISBN

0-7803-2685-7

Type

conf

DOI

10.1109/CDC.1995.479086

Filename

479086