Localization of unknown electromagnetic source using 3D-antenna arrays

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.

Untitled

“…In the centroid localization algorithm (CLA) [15], all nodes calculate their locations as the centroid of all received anchor's locations. However, the inherent bias of the CLA is not considered.…”

Network Aided Positioning Techniques Based on Rssi and Signal Processing

“…The system can instinctively modify the antenna's beam ornamentation, frequency retaliation, and other variables to intensify location performance. The location of MS is determined by two bisecting lines [33][34][35][36]. To fight inexactness more than two base stations might be engaged.…”