The Study On Vehicle Monitor And Alarm System Based On CNSS/DR

The study on vehicle monitor and alarm system based on CNSS/DR will be put forward in this thesis after analyzing the characteristics of CNSS and DR. Moreover, the Fusion processing of the data of the combined monitor and alarm system will be conducted by the federal kalman filter algorithm. The vehicle monitor and alarm system involved in the thesis will improve the speed and precision of data processing, and at the same time the accuracy of positioning will reach a relatively ideal level.Firstly, the research background of the thesis, the functions and the operating principle of CNSS will be introduced in the paper. On this basis, the current research state of CNSS will be elaborated. Consequently, the research meaning and the main content of this thesis will also be displayed.Secondly, the general structure of the system will be designed in the paper. In addition, the relative model and design of the main component modules such as Rf receive module, S3C2440A, mileage instrument and accelerometer will be included in the paper.Thirdly, the federal kalman filter algorithm will be used to process the data of the integrated navigation system in order to weaken the adverse effect caused by CNSS and the DR sensor error, to improve the integrated system's filtering precision and to detect and isolate the system and also improve the tolerance and reliability of the system. The operating principle of the federal kalman filter algorithm will be stated and the federal kalman filter algorithm of the combined navigation will be dwelled on.Finally, the thesis designs the database communication, the customer monitor of the monitor center and the database management, the protocol processing module and the network communication module, on this basis, the function of the system realized. Then, the precision of the algorithm will be tested by the software design and mimic experiment. The summary and the prospects of the thesis will be supplied in the end of the paper.