DocumentCode :
1619981
Title :
Wavelet-Based SNR Analysis in Building Satellite Terminal Fault Identification System
Author :
Xu, Liang ; Huang, Changcheng
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON
fYear :
2008
Firstpage :
1942
Lastpage :
1946
Abstract :
With the rapid expansion of satellite communication, an increasing number of unattended ground terminals are spreading out to serve local customers. And there is a great demand to equip the terminals with fault identification functionality so that the remote satellite operators can be notified and make immediate response in the event of any local service impairment. In this paper, we correlate signal behaviors of signal-to-noise ratio (SNR) measured at the ground terminal with different type of possible faults, and propose a terminal fault identification (TFI) system that utilizes wavelet technique to filter the SNR measurements and extract from multiple time-scales the signal patterns which are then to be matched with pre-defined fault signatures. The effectiveness of the approach is verified through the analysis over real-world data collected.
Keywords :
fault diagnosis; filtering theory; pattern matching; satellite communication; telecommunication network reliability; wavelet transforms; fault signature; remote satellite operator; satellite communication; satellite terminal fault identification system; signal filtering; signal pattern matching; wavelet-based signal-to-noise ratio analysis; Degradation; Expert systems; Fault diagnosis; Hardware; Performance analysis; Radiofrequency identification; Satellite broadcasting; Signal analysis; Signal to noise ratio; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
Type :
conf
DOI :
10.1109/ICC.2008.372
Filename :
4533408
Link To Document :
بازگشت