Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
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Article Number | 03054 | |
Number of page(s) | 4 | |
Section | Digital Signal and Image Processing | |
DOI | https://doi.org/10.1051/matecconf/201817303054 | |
Published online | 19 June 2018 |
Time-frequency Analysis of Multicomponent LFM signal based on Hough and Chirplet Transform
1
Shandong University, Weihai, China, 264209
2
Shandong Universit, Weihai, China, 264209
* Corresponding author: ruolun.liu@sdu.edu.cn
The Chirplet Transform (CT) is effective in the characterization of IF for mono-component linear-frequency-modulated signal. However, During the initialization process, using the peak of the time-frequency map of the short-time Fourier transform to fit the line is greatly affected by noise. For the multi-component signals, it is more difficult to distinguish and fit different IF lines. Since the Hough is good at a common algorithm for the line detection, the ridge edge fitting is replaced by the Hough transform in this paper. The experiment results show significant improvement in the obtained time-frequency representation.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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