【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.更多还原

【Abstract】 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.更多还原