Research of Time-frequency Analysis Method of Nonstationary Periodic Signal

被引:0
|
作者
Zhou, Qiang [1 ,2 ]
Han, Jiuqiang [1 ]
Zhou, Qiang [1 ,2 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
[2] Shangxi Univ Sci & Technol, Sch Elect & Informat Engn, Xian, Peoples R China
基金
美国国家科学基金会;
关键词
nonstationary periodic signal; short time power spectrogram; Wigner-Ville distribution; wavelet transform; time-frequency analysis;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nonstationary periodic signal(NPS) is a sort of stochastic signal whose period follow normal distribution, and the statistic average value of period (SAVT) of NTS is very important but difficult to yield. Several time-frequency analysis method including short time power spectrogram(STPS), Wigner-Ville distribution(WVD) and wavelet transform(WT) are employed to obtain the SAVP of NIPS, then Gauss white noise and color noise with large amplitude are used to verify the anti-interference capability of these methods. The analytic results show that STPS with inertia filtering can separate NTS from noise efficiently and has good time-frequency resolution of NPS, which means high measurement precision of SAVP. Smooth pseudo Wigner-Ville Distribution (SPWVD) and redistribution SPWVD have excellent time-frequency aggregation and resolution, but their anti-interference capability is a flaw. WT has powerful ability of anti-disturbance. In sum, all the three methods can compute SAVP of NPS, among them, STPS and WVD have higher measurement precision while WT has more perfect dynamic characteristic.
引用
收藏
页码:459 / +
页数:2
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