Communication-efficient Coordinated RSS-based Distributed Passive Localization via Drone Cluster
Abstract
Recently, passive unmanned aerial vehicle (UAV) localization has become popular due to mobility and convenience. In this paper, we consider a scenario of using distributed drone cluster to estimate the position of a passive emitter via received signal strength (RSS). First, a distributed majorizeminimization (DMM) RSS-based localization method is proposed. To accelerate its convergence, a tight upper bound of the objective function from the primary one is derived. Furthermore, to reduce communication overhead, a distributed estimation scheme using the Fisher information matrix (DEF) is presented, with only requiring one-round communication between edge UAVs and center UAV. Additionally, a local search solution is used as the initial value of DEF. Simulation results show that the proposed DMM performs better than the existing distributed Gauss-Newton method (DGN) in terms of root of mean square error (RMSE) under a limited low communication overhead constraint. Moreover, the proposed DEF performs much better than MM in terms of RMSE, but has a higher computational complexity than the latter.
Keywords
Cite
@article{arxiv.2104.00490,
title = {Communication-efficient Coordinated RSS-based Distributed Passive Localization via Drone Cluster},
author = {Xin Cheng and Weiping Shi and Wenlong Cai and Weiqiang Zhu and Tong Shen and Feng Shu and Jiangzhou Wang},
journal= {arXiv preprint arXiv:2104.00490},
year = {2021}
}