小样本时间序列分析在遭遇段处理中的应用

针对光电经纬仪对弹靶遭遇段测量时目标与视场产生的相对移动导致测量精度下降的问题，提出一种将小样本时间序列数据处理方法应用到遭遇段处理中的方法。通过将小样本测量数据进行预处理，剔除明显有误差的值，对剔除的数据进行重构，利用时间序列建模，采用逆序检验法检验所构建的时间序列的平稳性，并按照试验场景进行仿真计算。仿真结果证明：该方法使得计算最近距离等重要遭遇段参数误差小于0.5 m，其精度满足试验要求，验证了该方法的可行性。

Application of Small Sample Time Series Analysis in Process of Encounter Phase

Small sample time series analyzing method is employed to deal with the data from the encounter phase in which the precision of the photoelectric theodolite is debased thus the acquiring of high-precision parameter is out of the question because of the relative movement of the target to the field of view. Through pretreatment of small sample measurement data, reject error data, then reconstruct the rejected data, use time series to establish model, adopt reverse order detection method to establish time series stability, then carry out simulation calculation according to test environment. The simulation results show that: the method makes calculation error of important encounter phase such as mini distance is less than 0.5 m, its precision satisfies the test requirements and verify the feasibility.