摘要
主要针对载体运动加速度的确定,研究了以卡尔曼滤波为基础,融合GPS载波相位信息中相位速率和加速率的方法。采用载体运动的“当前”统计模型建立系统状态方程,系统观测方程中组合双差载波相位速率和加速率作为观测向量。针对一组静态数据和一组航空实测数据所作的处理分析表明,这种方法相对于单独利用载波相位加速率进行加速度估计,精度有明显提高。在10 Hz GPS数据采样频率上,静态数据载体运动加速度估计精度约为1.4 mm/s2,动态数据加速度估计精度约为0.40 m/s2。
The paper investigates the method of syncretizing GPS carrier-phase velocity with acceleration information based on Kalman filter to determine the vehicle＇s acceleration. The system＇s state equation is constructed using system ＂current＂ statistical model, and the carrier-phase velocity and acceleration are combined to get the observation vector. The analysis on dealing with a group of static GPS data and an airborne one indicated that, the estimation precision of the algorithm is obviously improved compared with that of estimating acceleration using only carrier-phase acceleration. On the 10 Hz GPS sample frequency, the precision is about 1.4 mm/s^2 with respect to the static data, and about 0.40 m/s^2 with respect to the airborne one .
出处
《中国惯性技术学报》
EI
CSCD
2006年第2期51-55,共5页
Journal of Chinese Inertial Technology
