Abstract

This paper presents a novel use of the Invasive Weed Optimisation algorithm: to quickly locate GPS jammers using a small, low power, low cost system. GPS jammers are often used by criminals and as such, there is a requirement from law enforcement agencies for such a system. In this paper a small, two element antenna array is used with a low power, digitally controlled beamformer. An Invasive Weed Optimisation algorithm controls the beamformer to find the Angle of Arrival of a GPS jamming signal from a real jammer. The system is able to determine the angle of arrival of the jamming signal in less than half the time required for a full exhaustive sweep.

Original languageEnglish
Title of host publication13th European Conference on Antennas and Propagation, EuCAP 2019
PublisherIEEE
ISBN (Electronic)9788890701887
Publication statusPublished - 1 Mar 2019
Event13th European Conference on Antennas and Propagation, EuCAP 2019 - Krakow, Poland
Duration: 31 Mar 20195 Apr 2019

Conference

Conference13th European Conference on Antennas and Propagation, EuCAP 2019
CountryPoland
CityKrakow
Period31/03/195/04/19

Keywords

  • Bio-inspired
  • GNSS

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation

Cite this

Lloyd, E. M., & Watson, R. J. (2019). Using a bio-inspired algorithm for efficient Angle-of-Arrival estimation of GNSS jammers. In 13th European Conference on Antennas and Propagation, EuCAP 2019 [8739781] IEEE.