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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。
Ground measurement and control equipment in the implementation of measurement and control tasks before the need to poor and poor receive channel phase calibration (hereinafter referred to as the school phase) to meet the goniometric subsystems of the target from the tracking requirements. Aiming at the problem that the calibration of the calibration equipment can not be carried out, the multi-regression analysis method based on mathematical statistics is used to analyze the accumulated historical calibration data to confirm that the ambient temperature of the equipment is significant to the tracking receiver’s phase shift value Based on this, the fitted phase shift value is obtained by using the sliding window polynomial fitting method, and the time-varying weighting is carried out with the most recent phase shift value of the standard calibration phase shift to obtain the phase shift value prediction method based on historical calibration data. The simulation results show that this method has better prediction accuracy, and can predict the phase shift value as the tracking receiver parameters to improve the emergency monitoring and control ability of the measurement and control equipment.