Considering the scenario that multiple users require localization services in the same area, this thesis proposes a centralized location algorithm based on the information exchange between users. Users measure the signal strength from base station and other users, and then send the measurement result to a localization server, the server estimates the distance between users based on these measurements, and use MDS algorithm to calculate the relative position between users, the fingerprint localization result can be revised by this relative position information iteratively. With the distance estimation between users, the algorithm can combat the influence on wireless signal strength measurements introduced by a plurality of users, the localization precision can be effectively improved.