Comparative study on time-varying target localization methods using multiple unmanned aerial vehicles: Kalman estimation and triangulation techniques

Abstract

In this paper, we evaluate two different methods to search, detect, and locate mobile radio frequency (RF) targets using multiple cooperative unmanned aerial vehicles (VAVs). The primary difference between the two methods is the target localization technique used: the Kalman estimation technique and the triangulation technique. We compare the two methods on the basis of the total task completion time and the total average target location accuracy. The qualitative results generated by a graphical simulator are presented as a part of our comparison study.