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直接序列超宽带(DS-UWB)信号的脉冲持续时间极短,信号以极低的功率谱密度分布在很宽的频带上。热噪声成为主要干扰源,传统射频滤波只能去除带外噪声。文中基于DS-UWB信号的奇异性分析,利用小波变换模极大值法进行带内滤波。仿真结果表明,该方法能有效地保留信号的奇异点信息,突显信号的细节特征,降噪效果明显。
The direct sequence ultra-wideband (DS-UWB) signal has a very short pulse duration and the signal is distributed over a very wide frequency band with very low power spectral density. Thermal noise becomes the main source of interference, and conventional RF filtering can only remove out-of-band noise. In this paper, based on the singularity analysis of DS-UWB signals, the in-band filtering is implemented by using wavelet transform modulus maxima method. The simulation results show that this method can effectively preserve the singular point information of the signal, highlight the details of the signal characteristics, and reduce the noise.