比例最小偏度单形采样的UKF及其在卫星定轨中的应用

UKF with Scaled Minimal Skew Simplex Sampling and Its Application in Satellite Orbit Determination

基于Unscented变换(UT),在最小偏度单形采样策略中使用比例修正算法,提出了一种比例最小偏度单形采样的Unscented卡尔曼滤波(UKF)算法,用于基于地基观测的低轨卫星实时定轨。仿真结果表明:比例最小偏度单形采样UKF的精度与比例对称采样UKF相当,但计算效率至少可提高三分之一。

The scaled minimal skew simplex sampling unscented Kalman filtering was proposed based on unscented transform while scaling algorithm was applied to the minimal skew simplex sampling strategy in this paper,which was used for the earth-based real-time orbit determination for low orbit satellite.The simulation results showed that the precision of orbit determination by this method was similar with that of UKF with the scaled symmetric sampling,but saving at the least one thirds computation time.