电波科学学报2017，Vol.32Issue(4)：474-481,8.DOI:10.13443/j.cjors.2017030702
基于短时分数阶傅里叶变换的谱分割算法
A new spectral segmentation algorithm based on short time fractional Fourier transform
卢广阔1
作者信息
- 1. 中国西南电子技术研究所,成都610036
- 折叠
摘要
Abstract
The short time fractional Fourier transform (STFRFT) is a useful tool for the research on analysis and recognition of multi-component non-linear frequency modulation (NLFM) signals,which have been presented on a lot of communication systems and radar systems.This paper investigates the non-circularity of STFRFT coefficients,and proposes a modified STFRFT such that all coefficients coming from white Gaussian noise are circular.In order to use the spectral kurtosis (SK) as a Gaussian test to check if signal points are present in a set of STFRFT points,we study the SK of different points in the time-frequency transform figure,and propose the definition of the local SK.Finally,a time-frequency segmentation algorithm based on the region growing by the local SK is proposed to separate the multicomponent NLFM signals.The effectiveness and robustness of this algorithm are evaluated via simulations.关键词
短时分数阶傅里叶变换(STFRFT)/非线性调频信号/区域增长算法/谱峭度Key words
short time fractional Fourier transform/non-linear frequency modulation signals/region growing algorithm/spectral kurtosis分类
信息技术与安全科学引用本文复制引用
卢广阔..基于短时分数阶傅里叶变换的谱分割算法[J].电波科学学报,2017,32(4):474-481,8.
