A Prediction Method of Satellite Telemetry Data Based on Kalman Filter

Abstract

A satellite telemetry data prediction method based on Kalman filter, aiming at the large amount of satellite telemetry data, complex signal types, high data real-time, consistency and reliability requirements, fast data change with the environment, and traditional manual data interpretation methods cannot meet satellite testing For the problem of demand, using the telemetry data at the current moment of the satellite to predict the telemetry data at the next moment in real time can detect abnormal changes in the data in advance. In the actual test application, if the satellite telemetry data is abnormal, and a certain telemetry value rises or falls abnormally, the tester cannot find the test abnormality because it does not exceed the preset threshold value in the initial stage. Applying this data prediction method can accurately predict the data of the next cycle, respond quickly to data abnormal areas, detect and predict data abnormalities in time, remind testers to focus on, and the algorithm execution efficiency is high, which can well meet the real-time requirements of satellite testing. It is suitable for long-term data interpretation and abnormal data detection.

Description

technical field [0001] The invention relates to a method for predicting satellite telemetry data based on Kalman filtering, and belongs to the technical field of satellite testing. Background technique [0002] Interpretation of satellite telemetry data refers to the process of conducting a correlation check on satellite control commands and downlink telemetry data during the comprehensive ground test process of the satellite, and judging whether the satellite equipment is working normally, whether the interface is correct, and whether the satellite is operating normally. In order to accurately grasp the working status of the satellite and find problems in time, testers must continuously monitor and interpret these data. [0003] At present, most of the satellite data interpretation work is still done by humans, which not only requires a large number of testers with rich knowledge and experience, but also has hidden dangers of missed and misjudged. The satellite test proces...

AI Technical Summary

Problems solved by technology

The amount of test data is huge, the types of signals are complex, the requirements for real-time data, consistency and reliability are high, and the data changes rapidly with the environment. Therefore, high requirements are placed on data interpretation and processing speed in satellite test systems. Traditional manual data interpretation methods Unable to meet satellite testing needs

In order to solve the above problems, the telemetry parameter automatic monitoring tool software is mainly used at present, which can automatically perform data interpretation according to the defined parameter range, and send an alarm prompt when the parameter exceeds the limit, but the definition of the abnormal range of the parameter is not precise enough, and it relies heavily on the experience of the tester

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