Gao Xingguo, Jiang Junyi, Xu Guoyu, Chang Zengliang, Yang Jichao
Shandong Electric Power Engineering Consulting Institute Co., Ltd., Jinan 250013, China.
College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Sensors (Basel). 2024 Dec 6;24(23):7804. doi: 10.3390/s24237804.
In order to solve the problem of fixed ambiguity and decreased accuracy in GNSS displacement monitoring of the offshore floating platforms, an attitude correction algorithm based on the fusion of a multi-antenna GNSS and an accelerometer was proposed using the Kalman filtering method. The algorithm was validated on a physical simulation platform and a real offshore floating platform. The results indicate that this fusion method effectively compensates for the loss of high-frequency displacement information caused by low GNSS sampling rates, improves situations in which the fusion effect deteriorates due to attitude changes, and enhances the accuracy of GNSS and accelerometer fusion monitoring through offshore buoy testing.
为解决海上浮动平台全球导航卫星系统(GNSS)位移监测中存在的固定模糊度和精度下降问题,采用卡尔曼滤波方法,提出了一种基于多天线GNSS与加速度计融合的姿态校正算法。该算法在物理模拟平台和实际海上浮动平台上进行了验证。结果表明,这种融合方法有效补偿了因GNSS采样率低而导致的高频位移信息丢失,改善了因姿态变化而使融合效果变差的情况,并通过海上浮标测试提高了GNSS与加速度计融合监测的精度。