摘要
基于姿态信息是状态监测的关键参数这一特征,提出一种北斗卫星导航系统(BeiDou navigation satellite system, BDS)和惯性导航系统(inertial navigation system, INS)融合的杆塔姿态测量算法。由惯性传感器解算输出姿态信息得出基线向量搜索范围,提高了整周模糊度的求解成功率,并将BDS输出的姿态信息作为观测量,对INS解算出的姿态信息进行校正。经实例验证,该算法能有效解决卫星失锁带来的整周模糊度求解难的问题,并能进一步提高测姿精度。
Based on the characteristic that attitude information is the key parameter of condition monitoring, a tower attitude measurement method is proposed based on the integration of BeiDou navigation satellite system(BDS) and inertial navigation system(INS). The searching range of baseline vectors is obtained from the output attitude information of inertial sensors, which improves the success rate of integer ambiguity resolution. The attitude information from BDS is used as the observation to correct the attitude information from INS. Instances show that the algorithm can effectively solve the integer ambiguity resolution problem caused by satellite lock-out, and further improve the attitude determination accuracy.
作者
杨鸿珍
周启平
贺琛
魏永
傅宁
吉福龙
YANG Hongzhen;ZHOU Qiping;HE Chen;WEI Yong;FU Ning;JI Fulong(Information and Communication Branch,State Grid Zhejiang Electric Power Co.Ltd.,Hangzhou 310007,China;State Grid Information&Telecommunication Group Anhui Jiyuan Software Co.,Ltd.,Hefei 230088,China;State Grid Shenwang LBS(Beijing)Co.,Ltd.,Beijing 102211,China)
出处
《测绘地理信息》
CSCD
2021年第3期21-24,共4页
Journal of Geomatics
基金
2018年国家电网公司科技项目(52110118001J)。
关键词
北斗卫星导航系统
惯性导航系统
姿态测量
模糊度函数法
整周模糊度
扩展卡尔曼滤波
BeiDou navigation satellite system
inertial navigation system
attitude determination
ambiguity function method
integer ambiguity
extended Kalman filter