Abstract
Various unmanned aerial vehicle (UAV) applications are being developed with lightweight on-board equipments since UAV can easily move to a desired position and obtain a line-of-sight (LOS) measurements. In this paper, we consider a radio-monitering and geolocation system which uses UAV employing on-board angle of arrival (AoA) estimator and present a method of deriving Cramer-Rao bound (CRB) for position estimation of the jamming signal. The CRBs obtained by different condition are compared to show the method to build a plan for achieving the target performance based on the attained CRB. We show the algorithm and the results of the maximum likelihood (ML) estimator implemented by symmectic rank one update (SR1) method.
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