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With the widespread use of optoelectronic theodolites, tracking and measurement radars, and other equipment in experimental appraisal, the practice of dividing testing units by testing equipment through network measurement has been broken, improving the overall reliability of the testing system. Real time guided data processing plays an important role in target network measurement, improving the processing accuracy of real-time ballistic or trajectory measurement data in the shooting range, enhancing system stability, and improving tracking reliability. In the process of real-time data processing, it is often easy to encounter situations where the data filtering and prediction effect is not ideal due to inaccurate model establishment. This article addresses the issue of tracking failure caused by delay and large random errors in the real-time guidance data received by the photoelectric theodolite. By analyzing the data errors and filtering models of the radar guidance source and control center, a real-time guidance data processing method based on optimal linear filtering is proposed. By improving the existing filtering model of the control center, the tracking data can be improved in large time delays Coordinate smoothing and prediction effects under severe coordinate changes ensure that the guidance data meets the requirements of smoothness and high accuracy. Theoretical analysis shows that this filter selection and parameter determination method based on optimal linear filtering can adopt different filtering parameters according to different testing tasks and guidance data link designs, making it more flexible to meet the needs of testing tasks. In one test, the 7point average+5point extrapolation filtering method was used, which reduced the random jitter of the radar guidance source data by about 5/6 compared to the original control center's 2-point extrapolation data. The jitter was reduced by about 24/25, and the filtering effect was more obvious.
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