文章摘要
郝田义,薛永华,郑志刚.基于短时分数阶傅里叶变换的含噪信号特征提取[J].,2019,34(3):273-276
基于短时分数阶傅里叶变换的含噪信号特征提取
Feature Extraction of Noisy Signals Based on Short-Time Fractional Fourier Transform
  
DOI:10.7682/j.issn.1673-1522.2019.03.003
中文关键词: 短时分数阶傅里叶变换  瞬时频率估计  特征提取  含噪信号
英文关键词: Short-time fractional Fourier transform  instantaneous frequency estimation  featureextraction  noisysignals
基金项目:
作者单位
郝田义 中国飞行试验研究院,西安 710089 
薛永华 海军航空大学,山东烟台 264001 
郑志刚 上海久航电子有限公司,上海 610092 
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中文摘要:
      通过对比噪声背景下短时傅里叶变换和短时分数阶傅里叶变换的时频分辨能力,进一步明确了短时分数阶傅里叶变换对频率时变信号的独特优势。研究了短时分数阶傅里叶变换的窗口滑动方式对瞬时频率估计的影响,可以发现:首先,在调频率较大或是变化剧烈时,短时分数阶傅里叶变换具有更好的鲁棒性;其次,在基于短时分数阶傅里叶变换的瞬时频率估计,实际应用中应主要采用以第一采样时刻作为估计值的逐点滑动方式。
英文摘要:
      By comparing the time-frequency resolution of short-time Fourier transform with that of short-time fractionalFourier transform under noise background, the unique advantages of short-time fractional Fourier transform for frequencytime-varying signals were further clarified. Then the influence of window sliding mode of short-time fractional Fouriertransform on instantaneous frequency estimation was studied. It can be found that, firstly, the frequency modulation islarge or the change is dramatic. Short-time fractional Fourier transform has better robustness in severe time. Secondly, inthe practical application of instantaneous frequency estimation based on short-time fractional Fourier transform, point-bypoint sliding method with the first sampling time as the estimation value shouldbeadopted.
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