Vehicle-Borne Gravity Vector Measurement Method Based on SINS/GNSS/LDV Integrated Navigation

被引:1
作者
Hou, Chengzhi [1 ]
Cheng, Jiayi [2 ]
Zhu, Xu
Chen, Mailun
Wei, Guo
Yu, Xudong
Zhou, Jian
Tian, Ye
Gao, Chunfeng [1 ]
机构
[1] Natl Univ Def Technol, Coll Adv Interdisciplinary Studies, Changsha 410073, Peoples R China
[2] Natl Univ Def Technol, Nanhu Laser Lab, Changsha 410073, Peoples R China
基金
中国国家自然科学基金;
关键词
Vectors; Accelerometers; Velocity measurement; Measurement uncertainty; Accuracy; Measurement errors; Vehicles; Gravity measurement; Vehicle-borne gravity vector measurement; integrated navigation; internal coincidence accuracy; ALIGNMENT;
D O I
10.1109/ACCESS.2024.3424580
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
At present, vehicle-borne gravity measurement mainly focuses on the gravity scalar, and vector measurement has not been developed because of the limitations in attitude measurement accuracy, velocity measurement accuracy and acceleration measurement accuracy. In this study, to address the problems encountered in traditional gravimetry, integrated with the high-precision Strapdown Inertial Navigation System (SINS) and Laser Doppler Velocimeter (LDV) developed by our group, a vehicle-borne gravity vector measurement method based on SINS/GNSS/LDV integrated navigation system is proposed. By analyzing the error model, the device accuracy requirements were obtained, and the system was built for the experiments. Without post-error compensation, the internal coincidence accuracy of vehicle-borne gravity vector measurement is within 3.3 mGal/1.7 km. Compared with the traditional gravity measurement method based on SINS/GNSS, the internal coincidence accuracy of the vertical, east and north gravity vector is improved by 17%, 34% and 38% respectively. The use of a new integrated system to obtain the key factors affecting the vector gravimetry can directly improve the accuracy of the disturbance measurement, thus providing a basis for obtaining higher-precision and higher-resolution deviation of vertical (DOV) to determine geoid and gravity compensated navigation.
引用
收藏
页码:170610 / 170619
页数:10
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