|Table of Contents|

Application of Wavelet Denoising in Distancedetecting with PN Code(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2003年04期
Page:
376-380
Research Field:
Publishing date:

Info

Title:
Application of Wavelet Denoising in Distancedetecting with PN Code
Author(s):
LiuJibin ZhaoHuichang XieWutao
School of Electronic Engineering and Optoelectronic Technology,N UST,Nanjing 210094
Keywords:
wavelet transform pseudo-noise code threshold signa-l to-noise ratio
PACS:
TN911
DOI:
-
Abstract:
Based on principle of the discrete wavelet transform is introduced firstly, the application of wavelet de-noising with threshold in the distance-detecting system with pseudo-noise( PN) code is analyzed. Moreover, the simulational principles of the two methods, conventional de-noising method with filter and wavelet de-noising method, are discussed. Simulational results show that , compared with the conventional denoising method, wavelet de-noising can improve the output of SNR and correlation value much more and increase the precision of distance-detect ing.

References:

1 崔锦泰. 小波分析导论[M] . 西安: 西安交通大学出版社, 1995. 1~ 108.
2 彭玉华. 小波变换与工程应用[M] . 北京: 科学出版社, 1999. 1~ 137.
3 Mallat S, Hwang L. Singularity detection and processing with wavelets[ J] . IEEE Trans on Information Theory, 1992, 38( 2) : 617~ 643.
4 Donoho D L. De- noising by sof-t thresholding[ J] . IEEE Trans on Information Theory, 1995, 41( 3) : 613~ 627.
5 Abramovich F. Wavelet thresholding via a Bayesian approach[ J] . J R Statistc Soc, 1998, B60: 725~ 749

Memo

Memo:
-
Last Update: 2013-03-17