Title :
Optimal and adaptive FIR filter receivers for DS-CDMA
Author :
Cruickshank, David G M
Author_Institution :
Dept. of Electr. Eng., Edinburgh Univ., UK
Abstract :
We calculate the optimum (Weiner) FIR filter for a DS-CDMA system in Gaussian noise using Gold codes. We consider adaptive filter approximations to the Weiner filter, showing that an RLS algorithm can provide a good approximation to the Weiner filter with fast convergence in the stationary case. The outline of a method for extending this work to the non-stationary cellular channel is also given. We concentrate our results on the filter´s ability to suppress multiaccess interference (MAI). The choice of an FIR filter enables us to calculate optimal filter in the presence of MAI and additive noise using Wiener filter theory and to describe a method for extending the optimisation process to include the multipath cellular channel
Keywords :
FIR filters; Gaussian noise; Wiener filters; adaptive filters; adaptive signal processing; cellular radio; codes; filtering theory; interference suppression; land mobile radio; least squares approximations; multipath channels; pseudonoise codes; radio receivers; radiofrequency interference; recursive estimation; spread spectrum communication; DS-CDMA system; Gaussian noise; Gold codes; RLS algorithm; Weiner FIR filter; adaptive FIR filter receivers; adaptive filter approximations; additive noise; fast convergence; multiaccess interference suppression; multipath cellular channel; nonstationary cellular channel; optimal FIR filter receivers; stationary cellular channel; Adaptive filters; Approximation algorithms; Convergence; Finite impulse response filter; Gaussian noise; Gold; Multiaccess communication; Multiple access interference; Resonance light scattering; Wiener filter;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 1994. Wireless Networks - Catching the Mobile Future., 5th IEEE International Symposium on
Conference_Location :
The Hague
Print_ISBN :
90-5199-193-2
DOI :
10.1109/WNCMF.1994.529470
