为分析具有 Markov性的跟踪测量环稳态输出平均值的误差性能 ,导出了不可约有限齐次 Markov链稳态部分和平均值的二阶矩和转移概率矩阵的简明关系 ,并分析了平均次数趋于无穷时的极限情况。在此基础上通过典型例子说明了作者针对跟踪测量应用提出的进一步降低跟踪误差的稳态平均法的有效性。该方法利用已有的稳态输出信息 ,取平均之后作为最终结果。计算和仿真结果相吻合 In order to analyze the error performance of Markov-like tracking steady-state output averaging, the simple second-moment and transition probability matrices of steady-state part and mean of irreducible finite homogeneous Markov chain are derived and the average number of times When the limit is approaching infinity. Based on this, a typical example is given to illustrate the validity of the steady-state averaging method proposed by the author for tracking measurement applications to further reduce tracking error. The method uses the existing steady state output information, averaging the result as the final result. Calculation and simulation results are consistent