Mobile Phone Indoor Location System Based on MENS-INS

Currently the wireless sensor network based on indoor location requires to collect footprint data in advance,which has a heavy workload,high cost and need to deploy special hardware. Consequently,we proposed a solution to indoor location utilizing MENS and INS in smartphone. By developing an application relying on Android system to get data from built_in sensors in cell phone,and combining with e_maps,these data are then processed with INS algorithm and Kalman filter to accomplish accurate locations. The method has been evaluated by a large set of experiments,and the results indicate that the method can achieve accuracy of 1 to 2 meters in a long distance.