Abstract
A blind sub-carrier recognition algorithm of TT&C communication is proposed based on JTFA(Joint Time-Frequency Analysis)and Fast-ICA Algorithm. In this method, we use time-frequency analysis technology to extract the features of the satellite signals, and Fast-ICA to enhance SNR ( Signal Noise Ratio) effectively. As one of the best tools to analyze the non-stationary signals, it shows information in the joint time-frequency domain and makes us know about the change of frequency along with the time clearly. Before the time-frequency analysis of the satellite signal, the premise is to remove noise. This paper presents a method of Satellite TT&C signal recognition. The analysis results show that the algorithm has good effect and good convergence in the satellite TT&C signal extraction. The characteristic of this algorithm is that we need not any prior information of signals to recognize any TT&C signals of satellite.
This paper is funded by Guangdong Province higher vocational colleges & schools Pearl River scholar funded scheme (2016).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hyvärinen, A., Karhunen, J., Oja, E.: Independent component analysis: algorithms and applications. Neural Netw. 13(4–5), 411–430 (2000)
Comom, P.: Independent component analysis-a new concept. Signal Process. 36, 287–314 (1994)
Jutten, C., Herault, J.: Blind separation of sources, part I an adaptive algorithm based on neuromlimetic architecture. Signal Process. 24, 1–0 (1991)
Yi-long, N.I.U., Hai-yang, C.H.E.N.: Blind Signals Separate. Defense Industry University Publishing House, Beijing (2006)
Zhang, D., Wu, X., Shen, Q., Guo, X.: Online algorithm of independent component analysis and its application. J. Syst. Simul. 6(1), 17–19 (2004)
Talwar, S., Viberg, M., Paulraj, A.: Blind separation of synchronous co-channel digital signals using an antenna array -part 1: algorithm. IEEE Trans. Signal Process. 44(5), 1184–1197 (1996)
Wei-hong, Fu., Xiao-niu, Y., Xin-wen, Z., Nai-an, L.: Novel method for blind recognition communication signal based on time-frequency analysis and neural network. Signal Process. 23(5), 775–778 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Le, W., Guang, M., Zhang, J. (2021). Blind Recognition of TT&C Signals of Satellite Based on JTFA and Fast-ICA Algorithm. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-66785-6_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-66784-9
Online ISBN: 978-3-030-66785-6
eBook Packages: Computer ScienceComputer Science (R0)