Abstract: With the popularity of location-based services,indoor positioning systems have attracted more and more attention.WiFi-based indoor localization has attracted a number of attention because of its open access and low cost pro-perties.This paper leveraged the fine-grained channel state information instead of RSSI to reduce the influence of indoor multipath effect at the receiver.We used a model of parameter independent of the positioning system called PILM to determine space position.By extracting effective CSI values and the distance relation model to transform formula,the problem is converted to solve the point which satisfies the condition of the two norm of the minimum vector,that is,using the least square method to solve the problem.Experiments on two kinds of typical indoor scenarios verify the system performance.

Key words: CSI,Vector two norm,Parameter independent space location