小波奇异性分析在DS-UWB降噪中的应用  

Application of Wavelet Singularity Analysis in DS-UWB Denoising

作　　者：姜波[1] 李迎盼[2] 田日才[2] 

机构地区：[1]黑龙江省电子信息产品监督检察院,哈尔滨黑龙江150090 [2]哈尔滨工业大学通信技术研究所,哈尔滨黑龙江150080

出　　处：《通信技术》2010年第1期14-16,19,共4页Communications Technology

摘　　要：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 pulse duration of direct-sequence ultra-wideband （DS-UWB） signal is very short, and the signal is distributed over a very wide frequency band with very low power spectral density. Thermal noise becomes the major source of interference, and the traditional RF filter could only remove the out-band noise. Based on DS-UWB signal singularity analysis, this article proposes a denoising method of Wavelet transform modulus maxima in signal band. Simulation results indicate that this method could effectively retain singularity of the signal, and the effect of denoising is remarkable.

关 键 词：DS—UWB 奇异性分析 小波模极大值法 降噪 

分 类 号：TN911.7[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]