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机构地区:[1]河南工程学院,郑州451191 [2]河南财政税务高等专科学校,郑州451464
出 处:《河南理工大学学报(自然科学版)》2014年第6期786-792,共7页Journal of Henan Polytechnic University(Natural Science)
基 金:河南省基础与前沿技术研究计划项目(142300410130)
摘 要:针对短时傅立叶变换时频分辨率不能同时很高,小波变换运算时间偏长,抗噪性差,Wigner-Ville变换及其改进方法受交叉项影响等问题,提出了一种基于希尔伯特-黄(HHT,Hilbert-Huang Transformation)算法的跳频信号参数估计.该方法的分解是自适应的,计算出的瞬时频率有很高的时间分辨率和较高频率分辨率.对于HHT算法中出现的虚假分量和端点效应问题,通过互相关方法来消除虚假分量,镜像闭合延拓方法去除端点效应.仿真结果表明该方法能很好解决上述两个问题.Because short term fourier transform did not have high time-frequency differentiability,wavelet transformation had too much operation time and Wigner-Ville distribution (including its improved methods) had cross-term interference.Thusly,a method called Hilbert-Huang Transform (HHT) was put up with to estimate the parameters of frequency-hopping signals.Its decomposition was adaptive and had high time differentiability and frequency differentiability,but it had end effects and illusive components.The end effects can be resolved by using a mirror closed extending method,and illusive components can be treated by using a correlation coefficient.Simulation results showed that this improved algorithm could solve the problems effectively.
关 键 词:参数估计 跳频信号 希尔伯特-黄变换 经验模态分解
分 类 号:TN957[电子电信—信号与信息处理]
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