An Effective LFM Signal Reconstruction Method for Signal Denoising

被引：3

作者：

Luo, Shan ^{[1
]}

Bi, Guoan ^{[2
]}

Wu, Tong ^{[1
]}

Xiao, Yong ^{[3
]}

Lin, Rongping ^{[4
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, Chengdu, Sichuan, Peoples R China

[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore

[3] Univ Arizona, Dept Elect & Comp Engn, Tucson, AZ 85721 USA

[4] Univ Elect Sci & Technol China, Sch Commun & Informat Engn, Chengdu, Sichuan, Peoples R China

来源：

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS | 2018年 / 27卷 / 09期

基金：

中国国家自然科学基金;

关键词：

Time-frequency; linear frequency modulated; denoising; signal reconstruction; inverse transform; NOISE; DOMAINS;

D O I：

10.1142/S0218126618501402

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：12

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