计算机工程与应用Issue(12)：223-229,7.DOI:10.3778/j.issn.1002-8331.1409-0015
基于希尔伯特-黄变换的超宽带信号检测方法
Ultra-wideband signal detection on Hilbert-Huang transform
摘要
Abstract
Based on end effects of Empirical Mode Decomposition(EMD)of Hilbert-Huang Transform(HHT)in detecting Ultra-Wideband(UWB)signal, the method of Non-equidistance Grey Model(NGM)mitigating end effects of EMD by predicting uncertain data is analyzed. In order to solve the problem that some extreme can hardly be detected in particular situation, modified NGM(1,1)model using Fourier series(TFNGM(1,1))at time domain to mitigate end effects of EMD is proposed. Proposed method with HHT is testified by theoretical derivation, and is used to detect UWB signal. Simulation results show the proposed method can accurately reconstruct UWB-IR signal with noise and interference, obviously improves the accuracy of UWB detection. Comparison with discrete wavelet transform demonstrates the proposed method is suitable to detect UWB signal.关键词
超宽带/信号检测/希尔伯特-黄变换/时序残差/非等间隔的灰色模型Key words
ultra-wideband/signal detection/Hilbert-Huang Transform(HHT)/time series error/non-equidistance grey model分类
信息技术与安全科学引用本文复制引用
刘潇文,蒋磊,许华..基于希尔伯特-黄变换的超宽带信号检测方法[J].计算机工程与应用,2015,(12):223-229,7.基金项目
国家自然科学基金（No.61001111）。 （）
