CAJ | 학술논문

卫星被动跟踪技术对于空间监视系统非常重要,为提高非合作跟踪模式下空间低轨卫星(LEO)的跟踪精度,提出一种基于扩展卡尔曼粒子滤波(EKPF)的仅测角卫星被动跟踪算法.首先,在卫星二体运动下,以地球惯性直角坐标系为基础,对卫星运动状态方程的二阶线性化、状态方程和测量方程的雅可比矩阵进行了详细推导.其次,利用二阶扩展卡尔曼滤波(EKF)产生粒子滤波(PF)的建议分布,并将EKPF应用到低轨卫星跟踪.最后,通过STK6.0仿真场景产生的数据对EKPF算法和扩展卡尔曼滤波算法的跟踪性能进行了对比分析和验证.仿真结果表明,该算法可以实现单颗高轨卫星通过仅测角对圆轨道的低轨卫星进行跟踪,且跟踪精度优于EKF算法.
위성피동근종기술대우공간감시계통비상중요,위제고비합작근종모식하공간저궤위성(LEO)적근종정도,제출일충기우확전잡이만입자려파(EKPF)적부측각위성피동근종산법.수선,재위성이체운동하,이지구관성직각좌표계위기출,대위성운동상태방정적이계선성화、상태방정화측량방정적아가비구진진행료상세추도.기차,이용이계확전잡이만려파(EKF)산생입자려파(PF)적건의분포,병장EKPF응용도저궤위성근종.최후,통과STK6.0방진장경산생적수거대EKPF산법화확전잡이만려파산법적근종성능진행료대비분석화험증.방진결과표명,해산법가이실현단과고궤위성통과부측각대원궤도적저궤위성진행근종,차근종정도우우EKF산법.
Satellite passive tracking techniques have great significance in space surveillance system.To improve low earth orbit(LEO) satellite tracking precision in non-cooperative tracking mode,a new passive extended Kalman particle filter (EKPF) algorithm using bearings-only measurements in earth centered inertial (ECI) coordinate was proposed.Firstly,the approximated second order linearized satellite state propagation equation,Jacobian matrix of state transfer equation and measurement equation were derived in the condition of satellite two-body movement.Secondly,the second order extended Kalman filter(EKF)was used to generate the proposal distribution within the particle filter (PF) framework,and the second order EKPF algorithm was used to track LEO satellite.The tracking performance of EKPF algorithm was compared with extended Kalman filter through simulated data from STK6.0.Simulation results indicate that it is possible for a high earth orbit satellite to track low earth circular orbit satellite passively using bearings-only measurements,and the tracking precision is higher than EKF algorithm.