After　lots　of　research　and　analysis　of　the　RSSId　(received　signal　strength　indicator　RSSI　and　distance　d)　relationship　between　the　reference　nodes　and　blind　nodes,　A　new　indoor　WLAN　location　technology　using　BP　neural　network　to　fit　the　RSSI-d　curve　is　proposed.　Firstly,　establish　a　three-layer　BP　neural　network,　the　input　layer　of　the　network　is　RSSI,　through　the　hidden　layer　processing,　the　final　output　from　the　output　layer　is　distance　d　between　the　reference　node　and　blind　node.　Once　get　three　more　such　distance　d,　according　to　the　known　coordinates　of　the　reference　nodes,　Taylor　series　expansion　algorithm　is　used　to　determine　the　coordinates　of　the　blind　node.　Finally,　the　experiment　result　shows　that　the　new　algorithm　improves　the　positioning　accuracy　and　universality,　compared　with　the　traditional　positioning　algorithms.