Indoor matching location algorithm based on WIFI signal strength

The traditional methods of matching location based on wifi wireless signal strength include two stages: offline signal map creation and online real-time positioning. This thesis improves the algorithm of online positioning stage. The first stage uses NNSS-AVG algorithm to select certain predetermined sites quickly. The second stage applies probabilistic algorithms to calculate the probability of the pre-positioning point and uses probability-weighted method to complete the positioning simultaneously. The actual environment test proves that hybrid algorithm can improve the response time and precision of the positioning.