Research On Vehicle Inertial Positioning Method Based On Android

At present,GPS positioning is mainly used in GPS systems,GPS systems can provide a high precision location,has a wide coverage and other advantages.However,the GPS signals are susceptible to environmental influences,such as signal loss and signal drift,which often lead to failure of positioning,such as overpass and building block in city.In order to solve the problem of signal loss and signal drift existing in GPS navigation,an improved dead reckoning algorithm based on inertial positioning method is proposed to solve the problem of GPS vehicle navigation in this paper.By using the vehicle speed sensor to directly obtain the vehicle speed,the precision of the traditional dead reckoning algorithm using acceleration integration is improved.At the same time,different mathematical models are established to classify the vehicle motion state.Then,based on the motion characteristics of the vehicle,a sensor-based state discrimination method is designed,which can judge the current motion model of the vehicle.Process data,improve the calculation speed.In order to make use of the advantages of GPS in good environment and to solve the shortcomings of the improved dead reckoning algorithm,the paper puts forward a vehicle inertial inertia combined positioning model.In the combined location model,GPS provides the initial position and error correction for the improved dead reckoning algorithm.The dead reckoning algorithm is used to provide the location service when the GPS signal is lost or drifted.And uses the combined Kalman filter algorithm to integrate the GPS system and the inertial positioning system to realize the combination localization and provide the better positioning result.