中文摘要：

一个新估计方法被建议，它利用 unscentedtransform 方法，因此，真平均数和协变性更精确地被接近。没有为 EKF 必要的 linearization 进程，新方法能被用于非线性的系统，并且它不要求噪音的 Gaussian 分布并且什么“ s 更多的，它实现和更精确的评价特征的容易使它能在卫星轨道模拟的实验表明它的好性能。数字实验证明 unscentedKalman 过滤器的申请比 EKF 更有效。

英文摘要：

A new estimate method is proposed, which takes advantage of the unscented transform method, thus the true mean and covariance are approximated more accurately. The new method can be applied to nonlinear systems without the linearization process necessary for the EKF, and it does not demand a Gaussian distribution of noise and what＇s more, its ease of implementation and more accurate estimation features enables it to demonstrate its good performance in the experiment of satellite orbit simulation. Numerical experiments show that the application of the unscented Kalman filter is more effective than the EKF.