DocumentCode :
120733
Title :
Parameter estimation for link adaptation on land-mobile satellite links
Author :
Bergmann, Michael ; Gappmair, Wilfried ; Koudelka, Otto
Author_Institution :
Inst. of Commun. Networks & Satellite Commun., Graz Univ. of Technol., Graz, Austria
fYear :
2014
fDate :
23-25 July 2014
Firstpage :
1139
Lastpage :
1143
Abstract :
Propagation conditions on a land-mobile satellite (LMS) link may change within the round-trip time. While for slowly fading channels the signal-to-noise ratio (SNR) is the most important figure of merit to adapt the related transmission parameters, this does not hold true for mobile channels in general. Additional information about the signal-to-interference ratio (SIR) and the Doppler spread of the fading component are typically necessary for successful link adaptation techniques. In this paper, we address carrier recovery as well as estimation of SNR, SIR, and Doppler spread for a Loo-Fontan channel, which is in the open literature frequently considered as a suitable model for LMS links. The focus is on the performance of an estimation framework, which we identified in a precursor study to be appropriate for correlated Rice channels. This developed framework is extended to LF conditions and verified by simulation results.
Keywords :
Rician channels; land mobile radio; mobile satellite communication; parameter estimation; radiowave propagation; satellite links; Doppler spread; LF conditions; LMS; Loo-Fontan channel; Rice channels; SIR; SNR estimation; fading channels; fading component; land-mobile satellite links; link adaptation; parameter estimation; propagation conditions; round-trip time; signal-to-interference ratio; signal-to-noise ratio; transmission parameters; Channel estimation; Doppler effect; Estimation; Fading; Least squares approximations; Satellites; Signal to noise ratio; Doppler spread; Land-mobile satellite link; Loo-Fontan model; Parameter estimation; Rice factor; Signal-to-noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/CSNDSP.2014.6924001
Filename :
6924001
Link To Document :
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