An effective LFM signal reconstruction method for signal denoising

An effective LFM signal reconstruction method for signal denoising

One of the main challenges in signal denoising is to accurately restore useful signals in low signal-to-noise ratio (SNR) scenarios. In this paper, we investigate the signal denoising problem for multi-component linear frequency modulated (LFM) signals. An effective time-frequency (TF) analysis-base...

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Bibliographic Details
Main Authors: Luo, Shan, Bi, Guoan, Wu, Tong, Xiao, Yong, Lin, Rongping
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Engineering::Electrical and electronic engineering
Time-frequency
Linear Frequency Modulated
Online Access:https://hdl.handle.net/10356/142296
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Institution: Nanyang Technological University
Language: English
Description
Summary:One of the main challenges in signal denoising is to accurately restore useful signals in low signal-to-noise ratio (SNR) scenarios. In this paper, we investigate the signal denoising problem for multi-component linear frequency modulated (LFM) signals. An effective time-frequency (TF) analysis-based approach is proposed. Compared to the existing approaches, our proposed one can further increase the noise suppressing performance and improve the quality of the reconstructed signal. Experimental results are presented to show that the proposed denoising approach is able to effectively separate the multi-component LFM signal from the strong noise environments.

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