Advanced Signal Optimization and Data Analysis Techniques in Astronautics Using Wavelet Transform

  • Mohamed Ayari et.al
Keywords: Wavelet Transform, Signal Processing, Data Compression, Anomaly Detection, Satellite Communication, Spacecraft Monitoring.

Abstract

In modern astronautics, the need for efficient signal processing and reliable data transmission is paramount for the success of space missions. This paper explores the advanced application of wavelet transform for signal optimization, focusing on denoising, data compression, and anomaly detection. By leveraging wavelet-based methods, the study addresses the challenges posed by non-stationary signals encountered in space environments. Detailed case studies demonstrate the effectiveness of wavelet transform in satellite communication systems and spacecraft health monitoring, revealing its advantages over traditional Fourier-based methods. This research contributes to the development of robust frameworks for implementing wavelet techniques, supporting autonomous space operations and improving the reliability of data management in future space missions.

Author Biography

Mohamed Ayari et.al

Mohamed Ayari1,2, Zeineb Klai1,3, Atef Gharbi1, Abdelhalim Hasnaoui4

1Faculty of Computing and Information Technology, Northern Border University –Kingdom of Saudi Arabia,

2Syscom Laboratory, National Engineering School of Tunis, University of Tunis El-Manar, Tunisia

3Faculty of Sciences of Sfax, University of Sfax, Tunisia

4Mathematics Department, College of Sciences and Arts, Northern Border University –Kingdom Saudi Arabia. *Corresponding author zeineb.klai@nbu.edu.sa

Published
2024-02-04
Issue
Volume 2024
Section
Regular Issue

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