Gao Duanyang, Hu Baiqing, Chang Lubin, Qin Fangjun, Lyu Xu
Department of Navigation Engineering, Naval University of Engineering, Wuhan 430000, China.
Sensors (Basel). 2021 Jan 27;21(3):829. doi: 10.3390/s21030829.
The gravity gradient is the second derivative of gravity potential. A gravity gradiometer can measure the small change of gravity at two points, which contains more abundant navigation and positioning information than gravity. In order to solve the problem of passive autonomous, long-voyage, and high-precision navigation and positioning of submarines, an aided navigation method based on strapdown gravity gradiometer is proposed. The unscented Kalman filter framework is used to realize the fusion of inertial navigation and gravity gradient information. The performance of aided navigation is analyzed and evaluated from six aspects: long voyage, measurement update period, measurement noise, database noise, initial error, and inertial navigation system device level. When the parameters are set according to the benchmark parameters and after about 10 h of simulation, the results show that the attitude error, velocity error, and position error of the gravity gradiometer aided navigation system are less than 1 arcmin, 0.1 m/s, and 33 m, respectively.
重力梯度是重力位的二阶导数。重力梯度仪能够测量两点间重力的微小变化,其包含的导航与定位信息比重力更为丰富。为解决潜艇被动自主、长航程、高精度导航定位问题,提出了一种基于捷联式重力梯度仪的辅助导航方法。采用无迹卡尔曼滤波框架实现惯性导航与重力梯度信息的融合。从长航程、测量更新周期、测量噪声、数据库噪声、初始误差和惯性导航系统设备水平六个方面对辅助导航性能进行了分析与评估。当按照基准参数设置参数并经过约10小时仿真后,结果表明重力梯度仪辅助导航系统的姿态误差、速度误差和位置误差分别小于1角分、0.1米/秒和33米。