While only continuous signals are utilized in traditional system states estimation approach, information contained in discrete measurements is ignored.
传统的系统状态估计方法只用到连续信号，而离散测量信号所包含的信息没有得到利用。
By using the forming filter and EKF, the precision of states estimation is increased and a effective estimation of stochastic sea interference is performed.
通过引入成型滤波器，采用EKF，提高了状态估计的精度，实现对随机海浪扰动力和力矩的估计。
The orbit states estimation is achieved through the extended Kalman filters design. The simulation results verify the validity of this navigation method, and show preferable navigation accuracy.
设计扩展卡尔曼滤波器进行卫星编队轨道状态估计，数学仿真结果验证了这种导航方案和算法的有效性。
The orbit states estimation is achieved through the extended Kalman filters design. The simulation results verify the validity of this navigation method, and show preferable navigation accuracy.
设计扩展卡尔曼滤波器进行卫星编队轨道状态估计，数学仿真结果验证了这种导航方案和算法的有效性。
应用推荐