| In today’s society, development of science and technology become more and more rapid. The commercial vehicles play an increasingly important role in people’s daily lives. But the rapid development of urban construction traffic also is a big real. The management needs to provide a higher navigation system. This system has played an irreplaceable role in the production of human life.Navigation is the main mode of vehicle navigation system, aiming at the practical problems in vehicle navigation system encountered in the work, the vehicle as the research object of strap-down inertial navigation system to the design of Caiman filter, and made some experiments, basic to achieve the desired goal. The integrated navigation system usually uses Caiman filter technology information fusion, however in the estimation of the motion state of the vehicle using the Caiman filter algorithm, when the vehicle motion has suddenly changed, it will lead to the change of Calman filter is not timely tracking of vehicles real state. Aiming at this problem from the point of view of algorithm analyzes the reasons of this phenomenon, were calculated from the gain and filtering system one-step prediction value calculation two aspects put forward the corresponding improved algorithm, the simulation experiment is finished Simulation results show that the improved Calman filter algorithm makes the tracking speed and filtering accuracy of Calman filter improved.We hope that by studying the paper, it is possible to develop a combination of navigation system which provides a proven technical solutions. And it can provide greater capacity and faster services for car navigation systems. We hope that can bring more convenience for human life. |
