一种基于历史标校数据的移相值预测方法

地面测控设备在执行测控任务前,需要对和差接收通道的相位差进行标校(简称校相),以满足测角分系统的目标自跟踪要求.针对因标校设备故障而无法进行校相的问题,通过使用数理统计的多元回归分析方法,对积累的历史标校数据进行分析,确定了设备工作的环境温度对跟踪接收机移相值有显著影响.在此基础上,利用滑动窗口多项式拟合方法得到拟合移相值,并与最近一次的标校移相值进行时变加权,可以得到基于历史标校数据的移相值预测方法.仿真试验表明该方法具有较好的预测精度,可将预测移相值作为跟踪接收机参数,提高测控设备应急测控能力.

A Phase Shift Predictive Method Based on History Calibration Data

Before performing a Tracking, Telemetry and Command (TT&C) mission, a ground TT&C system must calibrate the phase difference between the sum and difference channels to meet the requirements of auto tracking.For phase calibration failures as a result of equipment fault, it is found that ambient temperature can affect phase shift significantly based on analysis of history calibration data via multiple regression analysis.Using sliding window polynomial fitting method, the fitting phase shift is obtained and the shift is then weighted by a time varying weighting factor with the latest phase shift.The higher predictive accuracy of the method is verified by an experiment example, and the results show that the predictive phase shift can be applied to tracking receivers and improve emergency TT&C capability