Title :
Two new approaches to channel prediction based on sinusoidal modelling
Author :
Chen, Ming ; Viberg, Mats ; Ekman, Torbjörn
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg
Abstract :
Prediction of communication channels is important, for example to enable adaptive transmission strategies. In this paper, two new predictors are proposed based on sinusoidal modelling. First a combined LMMSE (given frequency estimates) and LP is proposed. Then an improved LMMSE prediction is proposed by modelling the frequency estimate errors as Gaussian random variables. Both predictions have better performances than the LMMSE prediction (given frequency estimates) in computer simulations
Keywords :
Gaussian processes; frequency estimation; least mean squares methods; prediction theory; signal processing; telecommunication channels; Gaussian random variable; combined LMMSE prediction; communication channel; frequency estimation; linear minimum mean square error estimation; sinusoidal modelling; Amplitude estimation; Communication channels; Computer errors; Computer simulation; Fading; Frequency estimation; Mean square error methods; Performance evaluation; Predictive models; Random variables;
Conference_Titel :
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-9403-8
DOI :
10.1109/SSP.2005.1628683
