Based On DSP+ARM BeiDou Positioning Platform Design And Implementation

Currently, there are four major satellite positioning system (American GPS, the Russian GLONASS,the European Union’s Galileo,China’s Compass) makes the application of satellite positioning receiver is very wide,but because of the research of China’s satellite positioning platform (receiver) started late, there is a gap between our production - Beidou satellite receiver with foreign products, the performance of positioning accuracy are worse,that our products are used in many positioning abroad products, but for some special occasions (national defense,aerospace) inappropriate use of positioning products abroad, so it is very important to enhance the positioning accuracy of the Beidou satellite positioning receiver, and it can popularize China’s Beidou satellite positioning system application.The objective is to develop a set of topics based on the "Beidou Ⅱ” low-cost,high-precision navigation instrument. This paper describes the realization of DSP + ARM Embedded satellite positioning system some key technologies. Then, in order to improve the positioning accuracy Beidou satellite receiver as a starting point for an existing module positioning accuracy is not high shortcomings, proposed dual antenna positioning module hardware design ideas,and gives a theoretical basis for this idea,treatment ideas and actual test results; Then,this paper presents a hardware system to meet the target subject design.System uses a modular design approach, into the power module, Compass dual antenna modules, DSP module, ARM control module, TFT LCD module, SD card module and network module several parts. This paper describes the structure based on the principles embedded DSP + ARM structure of the Beidou satellite receiver, functional components, and were given a detailed implementation of each module is part of the circuit. Locating the missing information in the system software design, the total for the current lack of Beidou satellite source number, easy to "lose star" of the problem, is designed based on the Kalman filter estimation theory UKF trajectory prediction algorithm to compensate for the loss of star short time. Finally,given the design of real photos locator hardware part,and the debug window screenshot testing process,and also artificially simulated trajectories estimated loss of star case, given the positioning information. The actual test results of the system. Validate the system design and trajectory prediction algorithm UKF feasibility and correctness.