With　the　increasing　demand　for　location-based　services　(LBS)　in　daily　production　and　life,　indoor　positioning　has　gradually　become　one　of　the　current　research　hotspots.　The　most　pressing　challenge　in　indoor　positioning　is　achieving　high-precision　location　in　complex　indoor　environments.　Aiming　at　the　problem　that　severe　non-line-of-sight　(NLOS)　interference　with　ultrawideband　(UWB)　positioning　accuracy　in　complex　indoor　environments,　this　article　proposes　a　novel　indoor　UWB　NLOS　correction　positioning　method　based　on　anchor　LOS/NLOS　map,　which　utilizes　prior　environmental　information.　After　anchors　are　deployed,　the　LOS/NLOS　map　is　generated　using　the　prior　environmental　information.　Then,　the　line-of-sight　(LOS)　anchors　are　selected　for　position　solution,　and　the　observations　under　the　influence　of　the　NLOS　anchors　are　corrected.　Then,　the　trajectory　is　optimized　using　a　map-modified　Kalman　filtering　algorithm,　and　it　adopts　a　method　to　solve　the　position　of　two　LOS　anchors　by　using　trajectory　constraints,　which　can　deal　with　more　complex　indoor　environment.　The　experimental　results　show　that　the　NLOS　correction　method　in　this　article　has　better　accuracy　than　the　traditional　filtering　algorithm,　especially　in　NLOS　environment　with　few　anchors.　Compared　with　the　standard　Kalman　filtering　algorithm,　the　average　positioning　accuracy　is　improved　by　69.30%,　and　compared　with　the　robust　Kalman　filtering　algorithm,　the　average　positioning　accuracy　is　improved　by　33.77%.