WiFi fingerprint indoor positioning method

The invention discloses a WiFi fingerprint indoor positioning method including the following steps of offline processing including (11) defining a positioning area, establishing a location fingerprint database LFDB of L sampling points, (12) performing k-mean clustering on the location fingerprint database LFDB and by taking the European distance as the evaluation criterion of similarity degree, dividing the fingerprint database into fingerprint database with k subclasses KF; and online positioning including (21) calculating the distance from the actual measurement fingerprint lf=(rssi1, rssi2, ...rssin) to each class center, and writing as DIS=[d1, d2,...dk]; (22) finding the class corresponding to the smallest value in DIS, writing as G; (23) calculating the distance between the actual measurement fingerprint lf and each fingerprint in the G; (24) selecting the reference fingerprints; (25) calculating the weight coefficient of each reference fingerprint; and (26) calculating the position coordinate of the a