GNSS Precise Point Positioning Based on Dynamic Kalman Filter with Attenuation Factor
作者单位：Beijing Institute of Technology School of Automation
会议名称：《第37届中国控制会议》
会议日期：2018年
学科分类：08[工学] 080401[工学-精密仪器及机械] 081105[工学-导航、制导与控制] 0804[工学-仪器科学与技术] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程]
基 金：supported by National Natural Science Foundation (NNSF) of China under Grant 61573061
关 键 词：Precise Point Positioning Kalman divergence Attenuation factor
摘 要：This paper addresses the Kalman filter divergence problem for Global Navigation Satellite System（GNSS）in Precise Point Positioning（PPP）. Continuous improvement of precision of GNSS PPP makes it widely used in various fields, however the Kalman filter divergence resolutions for PPP signal attenuating and satellite missing condition are still insufficient. Kalman filter is a recursive, linear unbiased,minimum variance method. Compared with the standard Kalman filter, the dynamic Kalman filter with attenuation factor in this paper makes up for the Kalman filter divergence problem. The effectiveness of dynamic Kalman Filter is demonstrated via matlab simulation.