Aiming　at　the　problem　of　insufficient　ground　terminal　(GT)　energy　in　unmanned　aerial　vehicle　((AV)　aided　wireless　powered　communication　networks　(WPCN)　using　radio　frequency　energy　harvesting,　the　minimum　throughput　maximization　resource　allocation　strategy　based　on　magnetic　coupling　resonant　wireless　power　transfer　is　studied　in　this　paper.　In　the　original　UAV-aided　WPCN,　a　power　transfer　UAV　equipped　with　magnetic　coupling　resonance　device　is　introduced.　At　the　same　time,　each　GT　installs　a　receiving　coil.　Through　the　magnetic　coupling　resonance,　the　power　transfer　UAV　provides　sufficient　energy　for　the　GT　in　turn.　In　order　to　maximize　the　minimum　throughput　of　all　GTs,　the　UAV　trajectory　for　receiving　information,　GT　transfer　power　and　timeslot　allocation　proportion　are　jointly　optimized.　Since　the　optimization　problem　is　nonconvex,　the　appropriate　convex　bound　of　nonconvex　constraint　is　derived　by　concave-convex　process,　and　the　suboptimal　solution　of　the　original　problem　is　obtained　by　iterative　optimization　algorithm.　The　simulation　results　show　that　the　proposed　method　has　a　certain　degree　of　improvement　in　the　minimum　throughput　compared　with　the　method　of　fixed　UAV　trajectory　and　fixed　timeslot　allocation　ratio.