An interference monitoring station is presented which detects, characterises and logs interference events. The system operates autonomously and continuously over multiple global navigation satellite system (GNSS) bands. With a bandwidth of up to 80 MHz, input resolution of 8 bit an overall data rate of approximately 1.3 Gbit/s can be supported. The interference detection is carried out in real-time, while the interference characterisation is executed in post-processing. The characterisation is separated in temporal and signal contents, as this allows both continuous wave (CW) and pulsed signals to be analysed independently of their frequency dynamics. This approach of characterisation has also proven to allow a broader spectrum of interferences to be classified. Examples of real-world events are presented

Tele-operated rovers offer huge application potential in the areas of emergency support, surveillance and security, in particular if they are small and easy to transport. In this context, the MERLIN outdoor rovers have been designed for robust operations in harsh outdoor environments at a total mass below 20 kg. The MERLIN rover system design aspects are described, including the rover on-board data processing and the sensor configuration. Special emphasis is on the remote operations assistance system, composed of the human-machine interface for appropriate presentation of relevant data at the tele-operator workplace and the autonomous reaction capabilities coordinated by the on-board data handling system.

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received his Dipl.-Ing. (FH) degree in Electrical Engineering from the University of Applied Sciences Wuerzburg-Schweinfurt, Germany, in 2007. Since then he has been working at the Fraunhofer Institute for Integrated Circuits IIS in the Field of GNSS receiver development. He was promoted to Senior Engineer in February 2012. Since April 2013, he is head of a research group dealing with secure GNSS receivers and receivers for special applications. His main research interests focus on GNSS multi-band reception, integrated circuits and immunity to interference. Daniel Meister received his MSc. degree in Computer Science from the Georg Simon Ohm University of Applied Sciences Nuremberg, Germany, in 2015. Upon graduation he joined the Fraunhofer Institute for Integrated Circuits IIS, where he is involved in signal processing for GNSS receiver including software and hardware development. J. Rossouw van der Merwe received his M.Eng. Masters degree in Engineering at the University of Pretoria, South Africa, in 2016. He joined the Fraunhofer Institute for Integrated Circuits IIS in 2016, where his main research is in signal processing methods for interference mitigation and array processing applications.