Three-Dimensional RF Source Localization Using Reflection and an Improved Particle Filter

Haidari, Saeid; Hoseinpour, Alireza

doi:10.22060/eej.2023.22102.5512

Three-Dimensional RF Source Localization Using Reflection and an Improved Particle Filter

Document Type : Research Article

Authors

Saeid Haidari ¹
Alireza Hoseinpour ²

¹ Electrical Engineering Department, Faculty of Engineering, University of Zabol, Zabol, Iran

² Elecrtical Engineering Departement,Faculty of Engineering, University of Zabol, Iran

10.22060/eej.2023.22102.5512

Abstract

This study uses an obstacle map for three-dimensional radio frequency (RF) source localization with reflection. The received signal strength indicator (RSSI) and the angle of arrival (AOA) are the observations needed for three-dimensional localization. In the first step of localization, an unmanned aerial vehicle (UAV) is used to obtain AOA and determine the three-dimensional reflection location using the two-dimensional map. Then, the path loss function is used and the reflection angle alongside the distance between the receiver and RF source is estimated based on RSSI. This information is integrated with the information from the two-dimensional map to estimate the RF source location in the three-dimensional space. The possible RF source locations in three-dimensional space are obtained and it is shown that the possible locations of the RF source for one reflection in the three-dimensional make a circle and so three reflections are required for three-dimensional RF source localization. The improved particle filter makes RF source location estimations while using the Kullback-Leibler distance (KLD) criteria and local search to improve the method performance with proper estimation speed and accuracy. The simulation results show that the improved particle filter has an adequate estimation with optimal particle number and higher execution speed than the initial particle filter.

Keywords