sequential estimation meaning in Chinese

序贯估计
序列估计

Through the study of this paper , it indicated that the kalman filter method provides not only the optimal sequential estimation of the system , but also system error information . it is suitable to assimilate the real - time observed data into forecasting model
通过本文的上述研究结果表明： kalman滤波方法不仅提供一个系统最佳状态的顺序估计，而且提供系统误差的信息，适合于将实时观测资料同化到预报模式中。
Firstly , a nonlinear multiscale model is established . secondly , we discussed two types of the nonlinear multiscale system , and a set of nonlinear multiscale fusion algorithms based on unscented kalman filter ( ukf ) and sequential estimation method is presented . simulation results show that this new algorithm is superior to single scale tracking algorithm
将多尺度研究范畴扩展到非线性领域，建立非线性多尺度系统模型，讨论了非线性多尺度系统两种类型，提出了基于非线性unscentedkalmanfilter ( ukf )的多尺度融合算法，该算法结合序贯式滤波对多个量测的分散处理，能有效降低计算量，同时具有ukf算法处理系统状态或量测方程强非线性情况的能力，并在二维非线性目标跟踪中显示了其比基于单一尺度的跟踪算法的优越性。