Abstract
GNSS are widely used in everyday life, for navigation, precision aircraft landing, high-frequency trading and power distribution networks. However there are always people who wish to deny access, often for reasons such as car theft or drug trafficking. As such it is of interest to many parties to be able to quickly identify and mitigate jamming. To this end, a low power, phase incoherent, detection system was designed. Exhaustive searches are inefficient and so it is proposed that bio-inspired optimisation algorithms will improve the search speed. Two algorithms were implemented and simulated, and their performance compared for both static tests and for tracking a moving jammer. It was found that both algorithms would locate a jammer faster than an exhaustive sweep. However when a moving jammer was introduced, Particle Swarm Optimisation was unable to reliably track, while Invasive Weed Optimisation could easily track both ramps and step changes in position.
Original language | English |
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Title of host publication | 14th European Conference on Antennas and Propagation, EuCAP 2020 |
Place of Publication | U. S. A. |
Publisher | IEEE |
ISBN (Electronic) | 9788831299008 |
ISBN (Print) | 9781728137124 |
DOIs | |
Publication status | Published - Mar 2020 |
Event | 14th European Conference on Antennas and Propagation, EuCAP 2020 - Copenhagen, Denmark Duration: 15 Mar 2020 → 20 Mar 2020 |
Publication series
Name | 14th European Conference on Antennas and Propagation, EuCAP 2020 |
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Conference
Conference | 14th European Conference on Antennas and Propagation, EuCAP 2020 |
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Country/Territory | Denmark |
City | Copenhagen |
Period | 15/03/20 → 20/03/20 |
Funding
ACKNOWLEDGMENT The authors would like to thank the Dr. Brian Nicholson scholarship for funding this research.
Keywords
- Beamsteering
- GNSS
- Phased array
- Superresolution
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Instrumentation
- Radiation