Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.
Hanoi University of Science and Technology, No. 1 Dai Co Viet, Hanoi 10000, Vietnam.
Sensors (Basel). 2018 Nov 26;18(12):4130. doi: 10.3390/s18124130.
In the past years, many techniques have been researched and developed to detect and identify the interference sources of Global Navigation Satellite System (GNSS) signals. In this paper, we utilize a simple and portable application to map interference sources in real-time. The results are promising and show the potential of the crowdsourcing for monitoring and mapping GNSS interference distribution.
在过去的几年中,已经研究和开发了许多技术来检测和识别全球导航卫星系统 (GNSS) 信号的干扰源。在本文中,我们利用一个简单便携的应用程序实时绘制干扰源地图。结果令人鼓舞,展示了众包监测和绘制 GNSS 干扰分布的潜力。