Article accepted in Sensors

As a result of a collaboration with Daniele Borio (JRC, EU) and partial results from Haoqing’s MS thesis, we got accepted the paper “Huber’s Non-Linearity for GNSS Interference Mitigation” in the Sensors journal. Check it out at 

D. Borio, H. Li, P. Closas, “Huber’s Non-Linearity for GNSS Interference Mitigation”, Sensors 2018, 18(7), 2217; doi:10.3390/s18072217

Abstract: Satellite-based navigation is prevalent in both commercial applications and critical infrastructures, providing precise position and time referencing. As a consequence, interference to such systems can have repercussions on a plethora of fields. Additionally, Privacy Preserving Devices (PPD)—jamming devices—are relatively inexpensive and easy to obtain, potentially denying the service in a wide geographical area. Current jamming mitigation technology is based on interference cancellation approaches, requiring the detection and estimation of the interference waveform. Recently, the Robust Interference Mitigation (RIM) framework was proposed, which leverages results in robust statistics by treating the jamming signal as an outlier. It has the advantage of rejecting jamming signals without detecting or estimating its waveform. In this paper, we extend the framework to situations where the jammer is sparse in some transformed domain other than the time domain. Additionally, we analyse the use of Huber’s non-linearity within RIM and derive its loss of efficiency. We compare its performance to state-of-the-art techniques and to other RIM solutions, with both synthetic and real signals, showing remarkable results.