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Design and measurement methodologies of high sensitivity sensors for low noise measurement of electromagnetic emissions

Implementation progress
40%
06 October 2020

Duration: 42 months

Objective

Detection of extremely low level of electromagnetic emissions from electronic devices/systems is very challenging metrologic problem to tackle due to high levels of ambient noise and electromagnetic interference from surrounding electronic devices/systems. This make the data difficult to interpret due to very low signal-to-noise ratios. Furthermore, congressed radio spectrum, band fragmentation and wireless coexistence interferences between cellular, WiFi, IoTs (Internet of Things), V2X (Vehicle-to-Everything), 5G (fifth-generation wireless network) and broadcast services has resulted in poor receiver sensitivities and in some case adjacent channel blocking. To enhance sensitivity and hence signal selection capability alternative methods sought. This project proposes to research into the rigorous methodologies on development of novel sensor/receiver with very low sensitivity to radically improve the design approach and measurement metrology available. Signal cancellation techniques with agile frequency domain filtering will also be considered to meet the demanding isolation of today’s wireless scenarios as well as link performance evaluation due to time-domain multi-sine stimuli with different peak-to-average-power ratios (PAPRs). Also, new materials and architectures will be appraised for next generation tuneable filters. The project will bring together innovations in multiple disciplines such as antennas, RF/microwave circuits, measurement methodologies, novel materials, and digital signal processing (DSP) algorithms.

Contract number
4000132584
Programme
OSIP Idea Id
I-2019-02435
Related OSIP Campaign
Open Discovery Ideas Channel
Main application area
Generic for multiple space applications
Budget
90000€
Design and measurement methodologies of high sensitivity sensors for low noise measurement of electromagnetic emissions