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