基于希尔伯特-黄和小波包的UWB信号检测方法

针对希尔伯特-黄变换在超宽带脉冲检测中检测性能受限于信噪比的问题,研究并分析了筛选终止条件以及小波包去噪方法,结合新终止条件,给出了希尔伯特-黄变换与小波包分析联合检测的新方法。采用新方法对噪声中的超宽带信号进行检测分析,并运用均方根误差公式对该方法的检测性能进行仿真比较。仿真图表明,新方法能较为准确地重构出淹没在强噪声下的脉冲,成功克服HHT变换在检测超宽带脉冲时受噪声强度影响较大的问题,从而改善强噪声环境下脉冲信号的检测效果。

Ultra-wideband Signal Detection Method Based on Hilbert-Huang and Wavelet Packet

For Hilbert-Huang transform(HHT) is restricted by signal to noise ratio(SNR) in detecting ultra-wideband(UWB) signal, this paper analyzed the stopping criteria for sifting of EMD and wavelet packet denoising,and proposed the method of HHT combining with wavelet packet and the new stopping criteria for sifting.The proposed method was used to detect UWB signal and its performance was compared and analyzed using root-mean-square error.Simulation results show that the UWB signal in strong noise canditions can be accurately reconstructed by the this new method,and the problem that SNR has big impact on HHT is solved.