并且对该简化方法的误差界限进行了讨论。
And the error bound of the simplified Markov model is mainly discussed.
通过对系统建立的简化模型进行误差分析，在已知被忽略状态的最少信息的前提下得到简化模型的误差界限。
And the error is analyzed for the simplified Markov model and the error bound is presented with the minimum information of the neglected states.
在这种框架中，利用李群来表示旋转空间，然后基于贝叶斯估计结构，计算了利用李群的表示的最小均方误差估计性能界限。
Upon this frame, use matrix Lie group to express the rotation space, then base on Bayesian estimation framework, calculate the minimum mean squared error bounds which use the matrix Lie groups.
最后在模拟测试之下，利用最大概似估计法求得各参数的误差、均方根误差、参数之上下界限以及涵盖。
Simulation results show that the maximum likelihood estimates perform well in most cases in terms of the mean bias, errors in the root mean square and the coverage rate.
当信噪比高于界限值时，速度误差较小且趋于稳定，对速度精度影响较小；
The velocity error is minor, tends to stable and has small influence on the velocity precision when the S/N ratio is greater than limit value;
当信噪比高于界限值时，速度误差较小且趋于稳定，对速度精度影响较小；
The velocity error is minor, tends to stable and has small influence on the velocity precision when the S/N ratio is greater than limit value;
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