基于广义互相关算法的遥测时延提取方法研究

Research on Time-delay Estimation Algorithm for Telemetry Signal Based on Generalized Cross-correlation

在常规靶场导弹试验中,遥测需解算GNSS弹道数据,但数据解算存在一定时延,导致测量弹道滞后现象,如何提取时延并对弹道进行修正是亟需解决的问题。提出一种基于广义互相关算法的时延提取及弹道修正方法,利用相关函数峰值提取时延,进而对遥测弹道进行修正。通过仿真和试验数据验证算法的正确性,弹道误差值由修正前最大约80m修正到小于10m。

GNSS trajectory data should be solved by the telemetry equipment in conventional target missile tests, but the time-delay existing in data solution makes the telemetry trajectory lag behind the radar trajectory. How to calculate the time delay and correct the telemetry trajectory is a problem to solve. An algorithm of time delay estimation and telemetry trajectory correction based on generalized cross-correlation is proposed, which estimates the time delay based on the peak value of generalized cross-correlation function. This paper validates the accuracy of this algorithm by simulation and test data, and the telemetry trajectory error reduces from 80 m to less than 10 m.