| Location Based Service (LBS), is born along with the emergence of Mobile Internet. Since its birth, LBS has gone into every aspect of people’s live quickly and deeply. Applications like Checkin, Map, search of the surrounding life service are emerging in an endless stream, and all of these are on the basis of the precise positioning technology. Currently, the study of indoor positioning is mostly based on the positioning of the RF or sensor, and outdoor positioning is mainly based on GPS positioning. However, these positioning technologies are confined to a particular environment or range. How to find a universal positioning technology based on comprehensive information from multiple sources, is a popular topic which is really worth researching.In this paper, the mobile positioning technology based on multi-source information is proposed on the basis of the current indoor and outdoor positioning. Through Kalman filtering technique, GPS positioning, inertial sensor location information, the base station location information and road information will be integrated, and the criteria of integration is the real-time monitoring of GPS drift and also the time stamp principle of INS positioning. This optimization algorithm, first of all, alleviates the accumulated errors of inertial sensor positioning to some extent, and then brings inertial sensors’autonomous navigation capabilities into full play; secondly, it can effectively solve the problem of GPS drift, and can achieve a certain degree of positioning in the environment with no network or weak GPS signal (such as in the mountains, tunnels, building area, etc.); finally, it achieve seamless handover both indoors and outdoors, and also alleviates the problem of GPS positioning energy dissipation after being used for a long period of time. The mobile positioning technology proposed by this paper, has passed experimental tests and achieved the above goals, which proves the design ideas and concepts of this paper are feasible. |
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