车载GPS虚拟观测值求解航向角方法  

New approach of vehicle-borne GPS azimuth based on virtual measurement

作　　者：杨文海[1] 叶泽田[2] 

机构地区：[1]首都师范大学三维信息获取与应用教育部重点实验室,北京100048 [2]中国测绘科学研究院,北京100039

出　　处：《测绘科学》2010年第5期103-105,共3页Science of Surveying and Mapping

基　　金：国家"863"高技术研究发展计划资助项目(2006AA12Z324)

摘　　要：如何提高利用GPS获取车载系统航向角的精度是当前研究的热点之一。本文介绍了一种利用固定基线长的双GPS天线求车载航向角的新方法,该方法针对GPS的误差特点并结合"当前"统计模型,建立了适合航向角滤波的系统方程,然后利用卡尔曼滤波来消除航向角噪声,并且将基线长约束引入模型建立虚拟观测值进行处理。结果表明,该方法显著地提高了的航向角精度。How to improve the precision of azimuth based on GPS is a new research focus.This paper presented a new approach to generate Vehicle＇ Azimuth,using Multi-GPS Data of constant length of baseline.A filter model was presented corresponding to characteristic of GPS signals and current statistical model.Moreover,Azimuth noise could be filtered by Kalman filter algorithm based on this model,which corresponded to Virtual Measurement calculated by Baseline restriction.The experimental results showed that azimuth precision could be improved greatly.

关 键 词：基线长约束 虚拟观测值 卡尔曼滤波 航向角 

分 类 号：P228.1[天文地球—大地测量学与测量工程]