| 混合噪声下基于Viterbi同步压缩S变换的FM信号分析 |
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| 引用本文： | 朱明哲,肖瑞,苏小凡,王广辉.混合噪声下基于Viterbi同步压缩S变换的FM信号分析[J].电子与信息学报,2018,40(12):2913-2918. |
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| 作者姓名： | 朱明哲 肖瑞 苏小凡 王广辉 |
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| 基金项目： | 国家自然科学基金(61701374)，陕西省自然科学基金(JB160210)，中央高校基本科研业务费专项资金，西安电子科技大学研究生创新基金 |
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| 摘 要： | 该文针对同步压缩S变换(SSST)在混合噪声下的失真问题，提出一种新型稳健性广义同步压缩S变换(GSST)。该方法首先改进Viterbi算法以提高S变换在混合噪声下的时频分析性能，在获取调频(FM)信号的相位轨迹信息后，利用同步压缩技术提高时频聚集性。仿真实验表明，在α-高斯混合噪声环境下，该方法能够在低信噪比下精确获取FM信号的时频信息，有效改善了传统同步压缩算法的稳健性和适用性。
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| 关 键 词： | Viterbi算法 同步压缩变换 α-高斯混合噪声 变趋势窗S变换 |
| 收稿时间： | 2017-11-20 |
Analysis of FM Signals Based on Viterbi Synchrosqueezing S-transform in Mixture Noise |
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| Mingzhe ZHU,Rui XIAO,Xiaofan SU,Guanghui WANG.Analysis of FM Signals Based on Viterbi Synchrosqueezing S-transform in Mixture Noise[J].Journal of Electronics & Information Technology,2018,40(12):2913-2918. |
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| Authors: | Mingzhe ZHU Rui XIAO Xiaofan SU Guanghui WANG |
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| Affiliation: | 1.School of Electronic Engineering, Xidian University, Xi’an 710071, China2.Department of Computer Science, Nanjing University, Nanjing 211102, China |
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| Abstract: | 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. |
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