中文摘要：

在这份报纸，用在土中的轴承和频率大小的联合集合的一个新被动修改重申的扩大 Kalman 过滤器(MIEKF ) 集中了惯性(ECI ) 坐标被建议。MIEKF 的一个新测量更改方程被修改高斯牛顿重复的客观功能导出。一个新获得方程和重复结束标准被使用最大的可能性的估计的性质获得。接近的秒顺序线性化州的繁殖方程，州的转移的 Jacobian 矩阵和测量方程在卫星被导出二身体的运动。MIEKF，重申的扩大 Kalman 过滤器(IEKF ) 和扩大 Kalman 过滤器(EKF ) 的追踪的表演从 STK8.1 通过模仿的数据经由蒙特卡罗模拟被比较。模拟结果显示建议 MIEKF 是可能的消极地由一颗高地球轨道卫星追踪低地球通报轨道卫星，并且更高让比 IEKF 和 EKF 追踪精确。

英文摘要：

In this paper, a new passive modified iterated extended Kalman filter （MIEKF） using the combined set of beatings and frequency measurements in Earth Centered Inertial （ECI） coordinate is proposed. A new measurement update equation of MIEKF is derived by modifying the objective function of the Gauss-Newton iteration. A new gain equation and iteration termination criteria are acquired by applying the property of the maximum likelihood estimate. The approximated second order linearized state propagation equation, Jacobian matrix of state transfer and measurement equations are derived in satellite two-body movement. The tracking performances of MIEKF, iterated extended Kalman filter （IEKF） and extended Kalman filter （EKF） are compared via Monte Carlo simulations through simulated data from STK8.1. Simulation results indicate that the proposed MIEKF is possible to passively track low earth circular orbit satellite by a high earth orbit satellite, and has higher tracking precision than the IEKF and EKF.