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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

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【作者】 姜波李迎盼田日才

【Author】 JIANG Bo①,LI Ying-pan②,TIAN Ri-cai②(①Heilongjian Electronic Information Products Supervision Procuratorate,Harbin Heilongjiang 150090,China;②Communication Research Center,Harbin Institute of Technology,Harbin Heilongjiang 150080,China)

【机构】 黑龙江省电子信息产品监督检察院哈尔滨工业大学通信技术研究所

【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。

【Abstract】 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.

  • 【文献出处】 通信技术 ,Communications Technology , 编辑部邮箱 ,2010年01期
  • 【分类号】TN925
  • 【被引频次】6
  • 【下载频次】84
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