Neighborhood Selection Synchronization Mechanism-Based Moving Source Localization Using UAV Swarm

To obtain the accurate time difference of arrival (TDOA) and frequency (FDOA) for passive localization in an unmanned aerial vehicle (UAV) swarm, UAV swarm network synchronization is necessary. However, most traditional distributed protocols are based on iteration, which hinders efficiency improvement. High communication costs long convergence times often required large-scale networks. This paper presents a neighborhood selection-all selection (NS-AS) mechanism-based moving source method swarms. First, NS-AS mechanism introduced, to model process. Specifically, neighbors first grouped by sector, representative selected from each sector state update calculation. When reaches fully connected state, switched select all neighbors, improve speed. Then, TDOA-FDOA joint algorithm employed locate radiation source. Through simulation, effectiveness proposed verified system performance under different parameters. Experimental results show that effectively improves speed while ensuring accuracy localization.