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 languageEnglish
Title of host publication14th European Conference on Antennas and Propagation, EuCAP 2020
Place of PublicationU. S. A.
PublisherIEEE
ISBN (Electronic)9788831299008
ISBN (Print)9781728137124
DOIs
Publication statusPublished - Mar 2020
Event14th European Conference on Antennas and Propagation, EuCAP 2020 - Copenhagen, Denmark
Duration: 15 Mar 202020 Mar 2020

Publication series

Name14th European Conference on Antennas and Propagation, EuCAP 2020

Conference

Conference14th European Conference on Antennas and Propagation, EuCAP 2020
CountryDenmark
CityCopenhagen
Period15/03/2020/03/20

Keywords

  • Beamsteering
  • GNSS
  • Phased array
  • Superresolution

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation
  • Radiation

Cite this

Lloyd, E. M., & Watson, R. J. (2020). Comparison of adaptive null-steering algorithms for low power GNSS phased arrays. In 14th European Conference on Antennas and Propagation, EuCAP 2020 [9136029] (14th European Conference on Antennas and Propagation, EuCAP 2020). IEEE. https://doi.org/10.23919/EuCAP48036.2020.9136029