Dynamic Positioning System Based On Satellite Positioning Technology And Experimental Research

The high-precision weapons for accurate attack are getting more and more attention in the modern war. The development of fuzes which have the function of satellite positioning has become a hotspot in the military research. However, the real-time performance of the satellite positioning system to capture the satellite signals and process the positioning data in the high-dynamic environment is still not satisfied today.Based on the brief introduction of the development and the application of the satellite positioning system over the world, the applications of the satellite positioning system in fuzes are classified and summarized. The technical difficulties existing in these applications are analyzed and the possible solutions are proposed. According to the analysis of the needs of the quick start-up, the starting process, the key technical indicators and the scheme of quick start-up in the high-dynamic environment are proposed. Among above, the working principle of the external processing modules assisted system and A-GPS system are designed, the starting speed of which is calculated in the theory.The satellite positioning system under high-dynamic state is designed by using DSP as the data processing core in the light of the real-time trajectory data needed to be processed complicatedly. What's more, the components of the module are selected, and the configuration as well as the circuit for the module is also designed. Using assembly and C/C++ language, some functions are realized, which including the system initialization, the memory configuration, the reception and extraction of the positioning signals, the numerical conversion, the coordinate transformation and the breakpoint supplement for the trajectory positioning data.The system is debugged and tested by DSK and a simulator in CCS to realize the function of real-time data processing. Further more, the starting time of A-GPS, non-assisted cold start and lock-lose information reacquisition are tested and compared. The experiments are carried out in the condition of tatic state and quasi-dynamic state respectively, and the simulation is made to analyze the magnitude using MATLAB. The experimental results show that the algorithm designed for the coordinate transformation and breakpoint supplement is proved to be implemented.