The Study of A New Data Fusion Algorithm of GPS /DR Integrated Navigation System

摘要：

GPS(global positioning system) has a high precision of navigation and speed measurement, and can provide all -weather and global service without being restricted by location and time . But the signal of GPS is often missed by some reason, DR(dead reckoning) algorithm can just solve this problem. The combination of these two algorithms can well solve the navigation problem. In the a model of GPS/DR Integrated Navigation system, The classical data fusion algorithm -Kalman algorithm needs a tight choice of the parameters, strongly depends on the system model .An accurate mathematical model of GPS/DR system is difficult to set up, so a new data fusion Algorithm is presented for the problem. It consists the classical Kalman algorithm and SageHusa adaptive filter. The modeling result shows that the algorithm is the theoretical simplicity and high processing speed and positioning precise.

关键词： GPS/ DR integrated navigation filtering data fusion

作者: ShengYu You ShengQing Liu Lin Jiang

作者单位: Software Institute East China Institute of Technology, NanChang. China JiangXi Expressway Connection Management Center, NanChang, China Software Institute East China Institute of Technology, NanChang, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Engineering and Applications(2011第三届计算机工程与应用国际会议 ICCEA2011)

会议地点: 海口

会议语种:英文

页码: 343-347

在线出版日期: 2011-07-15（万方平台首次上网日期，不代表论文的发表时间）