摘要
基于矢量重力测量数学模型,仿真了一段5000s的飞行过程,模拟了其SINS/GPS数据。详细描述了捷联惯性导航系统(SINS)中加速度计和陀螺数据仿真的方法,并给出了求解扰动重力的算法。仿真结果显示卡尔曼滤波器能有效地抑制误差积累。仿真的SINS/GPS数据可用于航空矢量重力测量的算法研究。
A 5000 seconds' flight and its correlative SINS/GPS data are emulated based on the theory of vector gravimetry.The simulative methods about the data of accelerator and gyro embedded in SINS are described in detail,and the algorithm about the disturbing gravity is presented.The results of simulation shows that Kalman filter can restrain errors accumulation effectively.The simulative data of SINS/GPS are useful for the algorithmic research on airborne vector gravimery.
出处
《海洋测绘》
2005年第4期19-21,28,共4页
Hydrographic Surveying and Charting
基金
全国优秀博士学位论文作者专项资金资助项目(200344)
河南省杰出人才创新基金(0321000100)。
