Decoding Method for Frame Reconstruction Parameters of Telemetry Data Based on MATLAB

After receiving the telemetry signals at the telemetry station, the telemetry baseband signals are decoded to form PCM code streams, which are usually expressed as binary or hexadecimal coded data, and cannot intuitively be expressed as the significance of the data represented by the data themselves, and need to be converted to the original observed analogues or digital quantities to intuitively express the significance of the data represented by the data themselves. In the process of decoding the original data frame, it is often necessary to reconstruct the frame in conjunction with the decoding protocol to solve some special data decoding requirements. It is proposed to extract and convert the original telemetry data by using mature library functions under MATLAB environment, and extract the slow varying variables from the original telemetry frames according to the framing protocol to reconstruct the new variable data frame, and then identify and extract and convert the new frame according to the secondary decoding protocol to achieve the restoration of the original observations of fast varying variables and slow varying variables. And after comparing with the data before decoding, they have a high conversion accuracy and can be adopted in the engineering practice.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/eeice65049.2025.11034140
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Decoding Method for Frame Reconstruction Parameters of Telemetry Data Based on MATLAB

Wei‐Chiao Chang, Feng Li, Bingqi Liu, Tushun Huang
Fault Detection and Control Systems
article

Decoding Method for Frame Reconstruction Parameters of Telemetry Data Based on MATLAB

Wei‐Chiao Chang, Feng Li, Bingqi Liu, Tushun Huang
article en

Abstract

After receiving the telemetry signals at the telemetry station, the telemetry baseband signals are decoded to form PCM code streams, which are usually expressed as binary or hexadecimal coded data, and cannot intuitively be expressed as the significance of the data represented by the data themselves, and need to be converted to the original observed analogues or digital quantities to intuitively express the significance of the data represented by the data themselves. In the process of decoding the original data frame, it is often necessary to reconstruct the frame in conjunction with the decoding protocol to solve some special data decoding requirements. It is proposed to extract and convert the original telemetry data by using mature library functions under MATLAB environment, and extract the slow varying variables from the original telemetry frames according to the framing protocol to reconstruct the new variable data frame, and then identify and extract and convert the new frame according to the secondary decoding protocol to achieve the restoration of the original observations of fast varying variables and slow varying variables. And after comparing with the data before decoding, they have a high conversion accuracy and can be adopted in the engineering practice.

Openalex Percentile: Top 84%
Fault Detection and Control Systems
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