Research Article
Blind Recognition of TT&C Signals of Satellite Based on JTFA and Fast-ICA Algorithm
@INPROCEEDINGS{10.1007/978-3-030-66785-6_24, author={Wang Le and MingXiang Guang and JingDan Zhang}, title={Blind Recognition of TT\&C Signals of Satellite Based on JTFA and Fast-ICA Algorithm}, proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings}, proceedings_a={MLICOM}, year={2021}, month={1}, keywords={JTFA ICA TT\&C signals of satellite}, doi={10.1007/978-3-030-66785-6_24} }- Wang Le
MingXiang Guang
JingDan Zhang
Year: 2021
Blind Recognition of TT&C Signals of Satellite Based on JTFA and Fast-ICA Algorithm
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_24
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.
