Enhanced kinematic positioning methods by shaping filter augmentation

【文件属性】：
文件名称：Enhanced kinematic positioning methods by shaping filter augmentation
文件大小：2.33MB
文件格式：PDF
更新时间：2013-05-18 22:41:27
Kalman filtering Kalman filtering is an important tool for positioning for vehicle navigation and for location based services. This paper, therefore, deals with methods to enhance a standard Kalman filter approach for kinematic positioning. Any modelling of Kalman filter approaches requires white measurement and process noise.