Fast KNN indoor WiFi positioning method based on decision tree

摘要: The invention discloses a fast KNN indoor WiFi positioning method based on decision tree. specifically includes the following steps: dividing area into multiple subareas, and setting coordinate points in each subarea; ensuring that terminal collects RSSI fingerprint information of point, transmits to server through wireless network construct database; enabling determine categories target by using an integrated tree algorithm; matching algorithm, calculating accurate location; returning result display. According designed invention, problem traditional algorithm is low speed can be overcome, targets subjected classification accurately positioned accuracy efficiency significantly improved method.