| With the rapid development of positioning technology and mobile intelligent devices, positioning and navigation services have become an indispensable part of people’s lives. No matter it is in a complex city or in rapid growing logistics system, are both inseparable from the mobile location services. LBS (Location Based Service) has now become the fastest growing Internet business and also has a wide application area. The quality of LBS depends on the positioning speed and refresh rate. At present, the most widely used positioning technology is the GPS (Global Positioning System). However, the GPS signal is vulnerable to interference when in the complex terrain, also the signal often be blocked when in the indoor environment. Therefore, people put forward higher requirements for mobile positioning technology to meet the standard.INS(Inertial Navigation System) and mobile WIFI positioning technology are two kinds of mature navigation technology which has been tested by the market. INS technology will not be affected by the outside world, and has high sampling frequency with low power consumption advantages. WIFI positioning technology with a dense WIFI signal environment such as in the city will have advantage like fast positioning,high precision and not sensitive to the difference of indoor and outdoor.Although these techniques certainly have their disadvantages that could not adapt to all situations, we can integrate them to achieve high reliability and widely used solutions by the use of increasingly sophisticated fusion positioning technology and scene recognition technology,.Based on the above research, this paper combines the WIFI positioning technology with the INS technology and the traditional GPS positioning technology and earth magnetic field sensor to propose a mobile location scheme based on multi-source fusion. By the data analysis and computing, we realize the acquisition, alignment and fusion calculation of the signal of WIFI, INS and GPS. By the adjustment according to the different scenarios, the algorithm can achieve good results in various different situations. The proposed guidance multi-source fusion algorithm has designed the client and server based on the C/S framework. Through simulation and experiment, the multi-source Fusion Guidance Algorithm enjoy a better positioning accuracy and robustness than the traditional GPS has in city complex terrain, fast cars and indoor positioning. |
