5G-A单无人机AOA/FOA非合作卫星终端定位OA

To mitigate the threats posed by non-cooperative satellite communications,precise localization and regulatory control of Non-Cooperative Satellite Terminals(NCSTs)are imperative.A cost-effective approach involves deploying a single 5G-A-enabled unmanned aerial vehicle(UAV)as a mobile sensing node to determine NCST positions using Angle of Arrival(AOA)measurements of the NCST beam signals.However,the inherent directionality of NCST-satellite communications severely restricts the spatial coverage accessible to UAV-based measurements.Consequently,facing the dual constraints of extended operational ranges and limited geometric observability,standalone AOA localization methods struggle to deliver the accuracy required for practical regulatory actions.This paper proposes a Closed-form AOA/FOA Fusion positioning Algorithm based on Augmented Transformation(CFA-AT)to address these limitations,which integrates AOA and Frequency of Arrival(FOA)measurements while explicitly modeling UAV position and velocity errors in the localization system.Through augmented transformation,the algorithm enables robust error modeling of positioning parameters and provides closed-form solutions,significantly improving positioning accuracy and system stability without compromising computational efficiency.Simulation results demonstrate that under high AOA measurement noise conditions(σAOA=5.73°),the CFA-AT achieves a 17.7％performance improvement by reducing the positioning errors by 46.3 m compared to existing AOA-only algorithms.