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Satellite telemetry data intelligent interpretation method based on BP neural network

A technology of BP neural network and satellite telemetry data, which is applied in the field of satellite testing, can solve problems such as heavy workload and uninterpretable massive data, and achieve the effect of improving model accuracy, meeting real-time requirements, and extending accuracy

Active Publication Date: 2016-02-10
AEROSPACE DONGFANGHONG SATELLITE
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AI Technical Summary

Problems solved by technology

[0003] At present, the interpretation of satellite telemetry data is mainly done manually, and the processing process has the following characteristics: the workload is very large, the experience and knowledge of experts are required, and the massive data cannot be completely interpreted manually

Method used

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  • Satellite telemetry data intelligent interpretation method based on BP neural network
  • Satellite telemetry data intelligent interpretation method based on BP neural network
  • Satellite telemetry data intelligent interpretation method based on BP neural network

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Embodiment Construction

[0020] The present invention provides a kind of intelligent interpretation method of satellite telemetry data based on BP neural network, below in conjunction with attached figure 1 The interpretation step of the present invention is described in further detail:

[0021] If the interpretation of telemetry data is to be realized, the BP neural network model for interpretation of telemetry data must first be learned. The specific learning process of the model is as follows:

[0022] (1) BP neural network parameter initialization for telemetry data interpretation; set the number of network layers to three layers, the number of units in each layer, the connection weight between layers, and the output thresholds W(k), V(k), θ( k), γ(k); input layer vector: A k =(a 1 ,a 2 ,...,a n ); the expected output vector corresponding to the input layer vector is: Y k =(y 1 ,y 2 ,...,y q ); the input vector of the middle layer unit is: S k =(s 1 ,s 2 ,...,s p ); the output vector ...

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Abstract

The present invention discloses a satellite telemetry data intelligent interpretation method based on a BP neural network. The method comprises an offline autonomous learning module and a real-time online interpretation module. The offline autonomous learning module performs autonomous learning based on a telemetry data sample in a historical telemetry database and a new obtained telemetry data sample to obtain a neural network model for telemetry data interpretation; and the real-time online interpretation module performs online real-time interpretation on telemetry data according to the neural network model obtained by the offline autonomous learning module. According to the method provided by the present invention, the telemetry data sample in the historical telemetry database is utilized to perform algorithm model learning and establishing, and the new obtained telemetry data sample is utilized to perform relearning in a telemetry data interpretation process; and in the entire telemetry data intelligent interpretation process, the precision of the neural network model for the telemetry data interpretation is increased gradually with time extending and telemetry data volumes increasing.

Description

technical field [0001] The invention relates to a method for intelligently interpreting satellite telemetry data based on a BP neural network, and belongs to the technical field of satellite testing. Background technique [0002] The telemetry data downloaded by the satellite can reflect the function, performance and working status of each device on the satellite. In order to accurately grasp the working status of the satellite and find problems in time, testers must continuously monitor and interpret these data during the comprehensive ground test. 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. [0003] At present, the interpretation of satellite telemetry d...

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Application Information

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IPC IPC(8): G06N3/08
Inventor 苏振华常武军刘锋洪雷朱隆晶
Owner AEROSPACE DONGFANGHONG SATELLITE
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