Analysis of FM Signals Based on Viterbi Synchrosqueezing S-transform in Mixture Noise

被引：0

作者：

Zhu Mingzhe ^{[1
]}

Xiao Rui ^{[1
]}

Su Xiaofan ^{[1
]}

Wang Guanghui ^{[2
]}

机构：

[1] Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China

[2] Nanjing Univ, Dept Comp Sci, Nanjing 211102, Jiangsu, Peoples R China

来源：

JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY | 2018年 / 40卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Viterbi algorithm; Synchrosqueezing transform; Alpha-Gaussian mixture noise; Varying-tendency window S-transform;

D O I：

10.11999/JEIT171091

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new robust Generalized Synchrosqueezing S-Transform(GSST) is proposed to solve the distortion problem of SynchroSqueezing S-Transform(SSST) in mixture noise. Firstly, the method improves the Viterbi algorithm for improving the Time-Frequency(TF) analysis performance of S-transform in alpha-gaussian mixture noise. After acquiring the phase locus information of the FM signal, the synchrosqueezing is used to improve the time-frequency aggregation. The simulation results show that the proposed method can accurately obtain the time-frequency information of FM signal under the background of Alpha-Gaussian mixture noise in low SNR, and has a better robustness and applicability than the SST.

引用

页码：2913 / 2918

页数：6

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