CAJ | 학술논문

粒子滤波(PF)在卫星姿态估计中解决了非高斯分布的情况,在粒子滤波的基础上,利用修正罗德里格参数(MRPs)表示姿态,用动力学方程进行角速率的传播,提出将采样粒子滤波(UPF)算法应用到基于MRPs的卫星姿态估计中,该方法通过UKF得到粒子滤波的重要性采样函数,更充分地利用了最新的量测信息.仿真结果表明,这种基于UPF的姿态估计方法能够获得比UKF和标准PF更高的滤波精度,并且具有更好的滤波稳定性.
입자려파(PF)재위성자태고계중해결료비고사분포적정황,재입자려파적기출상,이용수정라덕리격삼수(MRPs)표시자태,용동역학방정진행각속솔적전파,제출장채양입자려파(UPF)산법응용도기우MRPs적위성자태고계중,해방법통과UKF득도입자려파적중요성채양함수,경충분지이용료최신적량측신식.방진결과표명,저충기우UPF적자태고계방법능구획득비UKF화표준PF경고적려파정도,병차구유경호적려파은정성.
Based on particle filtering(PF), unscented particle filter(UPF)was proposed for satellite attitude estimation based on modified rodrigues parameters(MRPs) and dynamic equation for attitude representation and the propagation of angular velocity respectively. The unscented kalman filter(UKF) was used to generate sophisticated proposal distributions, which can take advantage of the latest measurements. The simulation results show that the presented method has higher accuracy than that of the standard PF and UKF.