Using a bio-inspired algorithm for efficient Angle-of-Arrival estimation of GNSS jammers

Elizabeth M. Lloyd; Robert J. Watson

Using a bio-inspired algorithm for efficient Angle-of-Arrival estimation of GNSS jammers

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

3 Citations (SciVal)

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 language	English
Title of host publication	13th European Conference on Antennas and Propagation, EuCAP 2019
Publisher	IEEE
ISBN (Electronic)	9781538681275
ISBN (Print)	9788890701887
Publication status	Published - 1 Mar 2019
Event	13th European Conference on Antennas and Propagation, EuCAP 2019 - Krakow, Poland Duration: 31 Mar 2019 → 5 Apr 2019

Conference

Conference	13th European Conference on Antennas and Propagation, EuCAP 2019
Country/Territory	Poland
City	Krakow
Period	31/03/19 → 5/04/19

Keywords

Bio-inspired
GNSS

ASJC Scopus subject areas

Computer Networks and Communications
Instrumentation

Cite this

@inproceedings{b00977a8ecb84b0ab58ea331dacbf550,

title = "Using a bio-inspired algorithm for efficient Angle-of-Arrival estimation of GNSS jammers",

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.",

keywords = "Bio-inspired, GNSS",

author = "Lloyd, {Elizabeth M.} and Watson, {Robert J.}",

year = "2019",

month = mar,

day = "1",

language = "English",

isbn = "9788890701887",

booktitle = "13th European Conference on Antennas and Propagation, EuCAP 2019",

publisher = "IEEE",

address = "USA United States",

note = "13th European Conference on Antennas and Propagation, EuCAP 2019 ; Conference date: 31-03-2019 Through 05-04-2019",

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T1 - Using a bio-inspired algorithm for efficient Angle-of-Arrival estimation of GNSS jammers

AU - Lloyd, Elizabeth M.

AU - Watson, Robert J.

PY - 2019/3/1

Y1 - 2019/3/1

N2 - 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.

AB - 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.

KW - Bio-inspired

KW - GNSS

UR - http://www.scopus.com/inward/record.url?scp=85068455042&partnerID=8YFLogxK

M3 - Chapter in a published conference proceeding

AN - SCOPUS:85068455042

SN - 9788890701887

BT - 13th European Conference on Antennas and Propagation, EuCAP 2019

PB - IEEE

T2 - 13th European Conference on Antennas and Propagation, EuCAP 2019

Y2 - 31 March 2019 through 5 April 2019

ER -

Using a bio-inspired algorithm for efficient Angle-of-Arrival estimation of GNSS jammers

Abstract

Conference

Keywords

ASJC Scopus subject areas

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