Radio Map Based UAV Target Localization
Chen He, Weisheng Gong, Yangrui Dong, Xie Xie, Z. Jane Wang
Abstract
Acting as the dynamic base stations, the unmanned aerial vehicles 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 radio map knowledge and the MMSE estimator, localization precision can be considerably improved.
BibTeX
@inproceedings{icassp2023_radiomapbaseduav,
title = {Radio Map Based UAV Target Localization},
author = {Chen He and Weisheng Gong and Yangrui Dong and Xie Xie and Z. Jane Wang},
booktitle = {ICASSP 2023},
year = {2023}
}