Title of article :
RF Source Localization Using Obstacles Map and Reflections
Author/Authors :
Haidari ، Saeid Faculty of Engineering - University Of Zabol , Moradi ، Hadi School of Electrical and Computer Engineering - University of Tehran , Dehghan ، M.M Malek-Ashtar University of Technology
Abstract :
This paper proposes radio frequency (RF) source localization in a non-line of sight condition using the map of obstacles. Received signal strength indicator (RSSI) and angle of arrival (AOA) measurements are observations obtained from the signal received on the unmanned aerial vehicles (UAV). In the proposed approach, AOA is used to determine the obstacle on the map from which the reflection has happened. Then, RSSI information is used to determine the location of the RF source. In the basic version of the approach, the RF source is located by triangulation. In the advanced approach, the reflection angle is also estimated to improve the localization accuracy. The estimation is done using the particle filter approach. In addition, it is shown analytically that the maximum localization error for the advanced approach is bounded, but the relative formation of the reflectors with respect to each other can increase the localization error for the basic approach.
Keywords :
Obstacle Map , Particle filter , Reflection , RF source Localization , RSSI , UAV
Journal title :
International Journal of Industrial Electronics, Control and Optimization
Journal title :
International Journal of Industrial Electronics, Control and Optimization