DocumentCode
1894870
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
fYear
2005
fDate
17-20 July 2005
Firstpage
697
Lastpage
700
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location
Novosibirsk
Print_ISBN
0-7803-9403-8
Type
conf
DOI
10.1109/SSP.2005.1628683
Filename
1628683
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