Abstract: With the advancement of WiFi technology application,the market demand for location services is growing.In order to improve traditional positioning technology such as GPS,there is a low positioning accuracy,power consumption and other shortcomings used indoors.In this paper,the feature matching based on WiFi location of indoor positioning technology were studied,the influence of various factors on the WiFi signal was analyzed and the comparison of some commonly used localization algorithm,through the Gaussian filtering stage in the feature library establishment stage,the signal intensity values with larger error were eliminated to improve the data precision of the collected values in the database.In the positioning phase,an improved K-weighted neighbor method was used to avoid the positioning process of accidental signal fluctuations to the positioning error,an indoor positioning system based on the Android system and WiFi implementation were designed.