This project is part of the Centre for Doctoral Training in Geospatial Systems. The successful candidate will be located and supervised by academics from within the Nottingham Geospatial Institute, University of Nottingham and work alongside our external partner Chelton Limited. The student will form part of Cohort 5 and commence in September 2023. Please visit our website for details on how to apply.
GNSS interference and spoofing is now commonly seen throughout the globe and is a significant threat to our widespread use of GNSS. If not addressed this will limit the future use of GNSS instruments for science, commercial and leisure activities.
Anti Jam is established as is anti spoofing capability within receivers. Chelton wish to explore the options, performance trade-offs and limitations of anti spoofing capabilities within anti jam equipment.
The aim of the PhD is to research spoofing detection and mitigation techniques within an Anti-Jam system as a compliment to or replacement of receiver based spoofing techniques.
Chelton envisage 3 outline areas for evaluation:
- Array based techniques
- Receiver based detection with AJ based mitigation
- Receiver on board the AJ for both detection and mitigation using correlator techniques
The work will include:
- Evaluation of the options and the trade offs and limitations for anti spoofing as part of an anti jam system
- Investigation of traditional receiver based Anti-spoof detection techniques with an adaptive array in the processing chain. Leading to an understanding of the impact of the adaptive array
- Array based spoofer detection and mitigation techniques
- Investigate receiver embedded within an anti-jam also considering commercially available receivers
- Modelling and simulation techniques
- The development of array based algorithms that give simultaneous AJ/AS signal
- An architecture to upgrade test environment so that we can prove this out
- Spoofer signal intelligence – direction of arrival, geolocation, spoofer type
- What satellites and constellations are being spoofed
During the MRes, the successful candidate will investigate the options, what is possible, trade offs and the limitations. Resulting in a best fit solution for years 2-4 understand impact of an array in an anti-spoof processing chain. Access for our array model and our test set and equipment would be provided.
During the PhD, the successful candidate would develop a basic spoofer detection and mitigation solution and continue with future enhanced capabilities including
- Optimisation of the solution
- Spoofer signal intelligence
- Geolocation of jammers
Some knowledge or basic background in GNSS technology and it’s applications would be of benefit but not essential.
Knowledge of any of the following areas would be desirable, Antennas, antenna arrays, beamforming, digital signal processing (DSP), digital reconfigurable logic (FPGAs).
Experience of Matlab or Python, C/C++, VHDL would be desirable but not essential.
For further information, please contact Dr Paul Blunt.
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