Title :
Eliminating adjacent-channel interference in satellite-based General Packet Radio Service (GPRS) systems
Author_Institution :
Hughes Network Syst., Inc., San Diego, CA, USA
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Vehicular Technology Conference, 2002. VTC Spring 2002. IEEE 55th
Print_ISBN :
0-7803-7484-3
DOI :
10.1109/VTC.2002.1002598
