UAV-based localization for distributed tactical wireless networks using archimedean spiral

Abstract

In this paper, we proposed archimedean spiral for UAV trajectory to localization position of military vehicle in tactical wireless networks. In our scenario, the vehicle called cluster head (CH), which are correspond to tank or humvee deploy randomly at Battlefield. Furthermore, Time differential of arrival (TDOA) technique is used for the communication system between UAV in space and CH in battlefield. Finally for clarify feasibility of our proposed method, the UAV line movement and localization error of CH are simulated using Matlab. Lastly, the comparison performance of trajectory e.g., circle, spiral, and archimedean spiral regarding average localization error and coverage area are presented in result.

Hybrid TDOA/FDOA and track optimization of UAV swarm based on A-optimality

“…The UAV intercepts the signal of the target radiation source and performs passive positioning. The mode of positioning and then implementing the strike is realistic and feasible [4]. Compared with the use of space-borne platforms for positioning, the advantages of using UAV swarm for passive positioning are mainly [5,6]:…”