用顾及大气层延迟的PVA模型Kalman滤波解算载体运动加速度

为解算航空重力测量中的载体运动加速度，对GPS载波相位伪距双差观测量进行分析。考虑对流层延迟和电离层延迟的影响，并通过对载体的运动学建模，提出一种基于PVA模型的Kalman滤波算法。相对于传统的差分方法，该算法可从相位观测量中直接解算载体运动加速度。通过仿真分析验证，采用自适应Kalman滤波，得到的未经低通滤波处理的载体加速度标准差为7.26×10-3 m/s2。

Calculation of Motion Acceleration with the Consideration of Atmospheric Delay Using PVA Model Kalman Filter

In order to calculate motion acceleration of the airborne gravity measurement, double difference GPS (DDGPS) carrier phase pseudo-range observations are analyzed considering ionospheric and tropospheric delay effects. Then, through the kinematic modeling of the carrier, a new Kalman filtering algorithm based on PVA model is proposed. The algorithm can directly calculate kinematic acceleration from the phase observations, relative to traditional difference method. Validated by the simulation analysis, when adopting the adaptive Kalman filter, the standard deviation of kinematic acceleration without low-pass filtering is 7.26×10-3 m/s2.