Title: Comparison Between AGC Control and Statistical Based Methods for Low Power Interference Detection
Author(s): M. Pini, B. Motella, L. Lo Presti
Published in: Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016)
September 12 - 16, 2016
Oregon Convention Center
Portland, Oregon
Pages: 265 - 274
Cite this article: Pini, M., Motella, B., Presti, L. Lo, "Comparison Between AGC Control and Statistical Based Methods for Low Power Interference Detection," Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016), Portland, Oregon, September 2016, pp. 265-274.
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Abstract: Also thanks to recent experiments and trials, the vulnerability of civil Global Navigation Satellites System (GNSS) signals to different sources of radio frequency interference has been widely demonstrated. The presence of impairments on the propagation channel might result in poor navigation performance, low accuracy and, in severe conditions, in a complete loss of signal tracking. Several specific countermeasures have been proposed in recent literatures, sometimes tailored to the interfering signals characteristics. Generally, different techniques work at different stages of the receiving chain and the simultaneous use of complementary strategies is the key element for assuring good detection performance. The paper compares the performance of two consolidated algorithms generally employed for the detection of interference: the monitoring of the automatic gain control level, and the Chi-square Goodness of fit test applied at the output of the analog-to-digital converter. Both of them work at the front-end level, and are able to flag warnings at an early stage, before the receiver performance is actually compromised by the presence of the interference.