A New Wavelet Transform Modulus Maximum Denoising Algorithm for UWB System

被引:2
作者
Bai, Changqing [1 ]
Peng, Yuanyuan [1 ]
Zhang, Qingyan [1 ]
机构
[1] Beijing Univ Posts & Telecommun, MOE, Engn Res Ctr, Wireless Commun Lab Informat Network, Beijing 100876, Peoples R China
来源
MANUFACTURING SCIENCE AND MATERIALS ENGINEERING, PTS 1 AND 2 | 2012年 / 443-444卷
关键词
Wavelet transform; modulus maximum denoising method; adaptive threshold algorithm; TH-PPM-UWB; nonlinear least square method; MULTIPLE-ACCESS;
D O I
10.4028/www.scientific.net/AMR.443-444.542
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The wavelet transform of pulse signal and noise have different properties, thus an improved wavelet transform modulus maximum algorithm was introduced to remove the noise in UWB system. Improvements include: a) a new adaptive threshold algorithm is used to process the wavelet transform modulus maxima on the largest scale level; b) getting modulus maxima on the first level through nonlinear least-square method. At last, Mallat alterative projection algorithm was adopted to reconstruct the signal. Simulation results show that the denoising effect of the novel method is far better than the traditional one, and it can locate the position of the narrowband pulse more accurately.
引用
收藏
页码:542 / 547
页数:6
相关论文
共 8 条