For Kalman filter will tend to instability if dynamical model is incorrect, two algorithms is developed named predictive filter, Which are based on kinematics model and dynamics model respectively.
针对模型的不准确带来的滤波性能下降甚至发散,提出了分别基于运动学模型和动力学模型的预测滤波算法。
参考来源 - 基于GPS的航天器姿态、相对姿态确定研究·2,447,543篇论文数据,部分数据来源于NoteExpress
The modified algorithm presented in the paper improved performance of the predictive filter.
文中进一步提出的修正算法,使滤波器的预测性能得到了改进。
The paper presents a new method to design a predictive filter which suits to analyze non-stationary data.
从三次样条函数入手,提出一种新的适合非平稳数据分析的预测滤波器设计方法。
As other predictive filters, state space is recursively got from measure space with system model by using the Particle filter.
这种滤波和其他预测性滤波一样,可以通过模型方程由测量空间递推得到状态空间。
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