Wavelet-Based SNR Analysis in Building Satellite Terminal Fault Identification System

About ICC 2008The 2008 IEEE International Conference on Communications (ICC 2008) will be held in Beijing, China, from 19-23 May, in the year of the Beijing Olympic Games, with the theme "Communications: Faster-Higher-Stronger".

Abstract

With the rapid expansion of satellite communications, an increasing number of unattended ground terminals are spreading out to serve the 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 the pre-defined fault signatures. The effectiveness of the approach is verified through the analysis over real-world data collected.

The full text of this article please find at http://www.ieee-icc.org/