According　to　the　existing　problems　in　the　WLAN　fingerprint　positioning　technology　and　wireless　signal　propagation　characteristics　under　indoor　environment,　this　paper　proposes　a　indoor　location　method　with　better　rapidity　and　higher　positioning　accuracy.　WLAN　fingerprint　positioning　method　is　improved　from　three　aspects　in　this　article:　first　of　all,　through　Kalman　filtering,　the　data　of　signal　fingerprints　will　be　processed　to　eliminate　the　random　disturbance　and　to　represent　the　real　state　of　the　system;　Second,　by　multi-fingerprints　joint　positioning　method,　the　random　error　of　individual　fingerprint　positioning　will　be　offset,　and　the　positioning　precision　and　accuracy　will　be　improved;　Again,　through　the　quick　fingerprint　matching　method　based　on　area　partition　and　AP　ID　database,　the　fingerprint　data　need　to　match　will　be　decreased　multiply,　the　speed　of　matching　fingerprint　will　be　improved.　The　experimental　verification　confirmed　that　the　algorithm　or　method　proposed　in　this　paper　could　improve　the　positioning　accuracy　and　improve　the　speed　of　the　WLAN　fingerprint　positioning　system　significantly.　©　2014　IEEE.