The　power　line　being　indispensable　under　indoor　environment　is　firstly　introduced　to　be　as　the　antenna,　which　wideband　high-frequency　signals　are　injected　into　it　to　obtain　the　location　fingerprint　so　as　to　achieve　precise　indoor　positioning.　Firstly,　the　realization　technology　about　the　injection　of　the　wideband　high-frequency　signal　analysis　is　proposed,　and　the　construction　method　of　the　indoor　location　fingerprint　is　deeply　described.　Meanwhile,　the　indoor　positioning　technology　based　on　the　naive　Bias　classification　algorithm　is　discussed　at　detail.　Finally,　the　experimental　analysis　shows　that　the　positioning　technology　based　on　naive　Bayes　classification　algorithm　has　higher　positioning　accuracy　and　better　adaptive　ability　of　time　migration　than　the　positioning　technology　based　on　K-Nearest　Neighbor　(KNN)　classification　algorithm,　in　the　case　of　multiple　training　samples.　©,　2014,　Science　Press.　All　right　reserved.