Eliminating adjacent-channel interference in satellite-based General Packet Radio Service (GPRS) systems

Author

Liang, Qilian

Author_Institution

Hughes Network Syst., Inc., San Diego, CA, USA

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

802

Abstract

This paper presents a method for eliminating adjacent-channel interference (ACI) in satellite-based General Packet Radio Service (GPRS) systems using a new fuzzy adaptive filters (FAF). We validate the reasons for using such a filter by analyzing the Bayesian detector in which some parameter uncertainties exist. A clustering method is used to adaptively design the parameters of the FAF. Simulation results show that the detector based on the new FAF perform better than the maximal-likelihood block phase estimation detector.

Keywords

Bayes methods; adaptive filters; adaptive signal detection; adjacent channel interference; fading channels; filtering theory; fuzzy systems; interference suppression; packet radio networks; quadrature phase shift keying; satellite communication; ACI; Bayesian detector; FAF based detector; GPRS systems; QPSK; Rayleigh fading; Rician fading; TDMA-based standard; adaptive detector; adjacent-channel interference elimination; clustering method; flat fading channel; fuzzy adaptive filters; maximal-likelihood block phase estimation detector; satellite-based General Packet Radio Service; simulation results; Adaptive filters; Bayesian methods; Clustering methods; Detectors; Fuzzy systems; Ground penetrating radar; Interference elimination; Packet radio networks; Phase detection; Uncertain systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2002. VTC Spring 2002. IEEE 55th

Print_ISBN

0-7803-7484-3

Type

conf

DOI

10.1109/VTC.2002.1002598

Filename

1002598