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Localization of unknown electromagnetic source using 3D-antenna arrays

Published online by Cambridge University Press:  24 June 2019

Sreenivasulu Pala ,
Srividhya Palliyani ,
Mohamed Himdi ,
Olivier Lafond  and
Dhanesh G. Kurup Open the ORCID record for Dhanesh G. Kurup [Opens in a new window]
Sreenivasulu Pala
Affiliation:
RF and Wireless Systems Laboratory, Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita University, Bangalore campus 560035 Bangalore, India
Srividhya Palliyani
Affiliation:
RF and Wireless Systems Laboratory, Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita University, Bangalore campus 560035 Bangalore, India
Mohamed Himdi
Affiliation:
IETR (Institut d'Electronique et d'e Télécommunications de Rennes)UMR CNRS 6164, Université de Rennes 1 Campus de Beaulieu. Bât. 11D, Avenue du Général Leclerc 35042, Rennes Cedex, France
Olivier Lafond
Affiliation:
IETR (Institut d'Electronique et d'e Télécommunications de Rennes)UMR CNRS 6164, Université de Rennes 1 Campus de Beaulieu. Bât. 11D, Avenue du Général Leclerc 35042, Rennes Cedex, France
Dhanesh G. Kurup
Affiliation:
RF and Wireless Systems Laboratory, Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita University, Bangalore campus 560035 Bangalore, India
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Abstract

In this article, we propose three-dimensional antenna systems for determining the position of electromagnetic radiation source at an unknown location. Received signal power at different antennas and position of radiation source are used as training data for Artificial Neural Network (ANN). It is found that, a well-trained ANN is computationally efficient and capable of predicting the unknown location of the source, from the received power pattern. Two multi-antenna systems with geometry in three dimensions, namely the cube and frustum, are considered in this paper. Further, test results of the proposed method for random positions of electromagnetic source, spanning a hemisphere, are presented for the geometries considered.

Keywords

Localization3D-antenna arraysArtificial Neural Network
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 12 , Issue 1 , February 2020 , pp. 86 - 94
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2019 

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