Adaptive short time fractional Fourier transform for time-frequency segmentation

被引：7
|
作者：
Lu, Guangkuo [1 ]
Xiao, Manlin [2 ]
Wei, Ping [1 ]
机构：
[1] Univ Elect Sci & Technol China, Coll Elect Engn, Chengdu 611731, Peoples R China
[2] Shanghai Univ Engn & Sci, Coll Urban Railway Transportat, Shanghai, Peoples R China
来源：
ELECTRONICS LETTERS | 2016年 / 52卷 / 08期
关键词：
Fourier transforms; time-frequency analysis; frequency modulation; chirp modulation; adaptive short time fractional fourier transform; time-frequency segmentation; nonlinear frequency modulation signal components; adaptive short-time fractional Fourier transform; ASTFRFT; high-resolution time-frequency distribution; spectral kurtosis; time-frequency coefficients detection;
D O I：
10.1049/el.2015.4428
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 novel algorithm is proposed to detect closely placed nonlinear frequency modulation signal components using adaptive short-time fractional Fourier transform (ASTFRFT) combined with time-frequency segmentation. A high-resolution time-frequency distribution is defined by ASTFRFT computed using windows of varying lengths and chirp rates based on spectral kurtosis. The individual signal components are separated by applying a successive iteration of time-frequency coefficients detection. The effectiveness and robustness of this method are evaluated via simulations at low signal noise ratios.
引用
收藏
页码：615 / 616
页数：2
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