Title :
An optimal local mean signal power level estimator for Rayleigh fading environments
Author :
Wong, Daniel ; Cox, Donald
Author_Institution :
Stanford Univ., CA, USA
Abstract :
Wireless cellular radio systems need good estimates of local mean signal power level for use in channel access, power control and handoff. Many systems today use weighted sample average estimators which are not optimal in Rayleigh fading environments. We derive the optimal local mean signal level estimator for the Rayleigh fading environment and compare it with the sample average estimator
Keywords :
Rayleigh channels; cellular radio; fading; parameter estimation; Rayleigh fading environment; channel access; handoff; optimal local mean signal power level estimator; power control; sample average estimator; wireless cellular radio systems; Fluctuations; GSM; Mean square error methods; Power control; Power system modeling; Random processes; Rayleigh channels; Signal processing; Wireless cellular systems; Wireless communication;
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
DOI :
10.1109/ICICS.1997.652285
