Radio Map based UAV Target Localization

Acting as dynamic base stations, the unmanned aerial vehicle has a significant advantage over the conventional base station for target localization. When localizing a target, UAV can move toward the estimated target location after each estimation, making the received signals stronger after each iteration, and hence yield more localization precision for each iteration. In this paper, we propose target localization by UAV with radio maps as prior knowledge, which are generated from real topographic maps. We derived the minimum mean square error (MMSE) estimator for target localization by UAV with the radio map. Numerical results show that with the radio map knowledge and the MMSE estimator, localization precision can be considerably improved.