Study Of A Cloud-based GPS Navigation System

With the rapid development of mobile portable devices,People have more expect on the move end GPS navigation service. People’s need for accurate navigation services has conflict with the real-time, fast and agility that requires a lot of data to process.Satellite prediction function and cloud computing with powerful computing capability can solve this problem. Add satellite prediction function in the capture process can greatly reduce the number of satellites traverse stars in the absence of prior information of the condition,and reduce acquisition time. So it can speed up the navigation process. Cloud computing can move the most complex baseband signal processing to the cloud to complete.And at the same time, we can use Coarse-Time Navigation(CTN) algorithm in the cloud-based GPS receiver reduce the amount of data transferred to the cloud. It can improve the agility of the process. The main works of this paper are as follows:1. Complete GPS software receiver modules related simulation, and lay the foundation for all subsequent studies.2. During the acquisition, add satellite prediction capabilities to provide immediate visible satellites and satellite PRN code number, and reduce the traversal search times in the acquisition process. Examining the impact on DOPs of this program is in the acceptable range.3. Using Coarse-Time Navigation(CTN) algorithm. Especially, when failed to get the base station’s location around us. Use angle of arrival(AOA) localization algorithm to get the initial position and continue complete the Coarse-Time Navigation.4. Set up the cloud-based GPS receiver overall framework. It is divided into two parts, the client and the cloud. In the client, a Dell PC is needed. The cloud is constructed on the Pilot System of Supercomputer Center in Guangzhou. Implement the communication between the client and cloud. At last, test the appropriate positioning results and show it on the map.