摘要
针对GPS测量实际道路车速中存在的突变野值问题,提出改进的自适应"当前"统计模型.该模型在"当前"统计模型基础之上,根据新息向量实时对机动频率做两次调整.两次调整算法使得模型更加适应于跟踪快速机动目标,提高跟踪精度.最后将模型应用于处理GPS测量的实际道路行驶车速,同时与通过CAN总线采集的车速传感器信号进行对比.实验结果表明该方法能够改善测量结果,使修正后的数据更加切合实际.
For correcting outliers emerging in GPS measurement data of real-riving speed, an improved current statistical model is proposed. The model adjusts maneuvering frequency twice according to innovation vectors, and the method makes more suitable to track fast maneuverable target and improve, tracking precision. By comparing the data measured by GPS on a real-road conditions using the model with the data from a CAN bus of the vehicle, it is found that the model can effectively improve the measurement results and obtain more reli- able data.
出处
《大连交通大学学报》
CAS
2013年第4期112-115,共4页
Journal of Dalian Jiaotong University
基金
国家863计划课题资助项目(2006AA11A1C7)
关键词
机动频率
车速
模型
修正
maneuvering frequency
speed
model
correcting
作者简介
黄杰（1987-），男，硕士研究生
林怡青（1951-），女，教授，博士，主要从事数据处理结构分析与设计的研究E-mall：huangjie062127@163．com
