Wavelet Denoising Method for RF Signal

Shu Lai Liang; Zhou Guo Hou; Zhao Peng Li

doi:10.4028/www.scientific.net/AMR.955-959.911

Paper Titles

Research on the Effects of the Generator with Differential Supporting Characteristics on Vibrations of the Three-Bearing Structure
p.886

Study on the Commercial Vehicle's Ride Comfort at Idle Speed by Simulation
p.890

Vibration Analysis of the Control Valve Coupled Models
p.894

Research on a New Array-Manifold of Single Vector Hydrophone
p.899

Wavelet Denoising Method for RF Signal
p.911

Affecting Factors Related to Air Pollution on Elderly Respiratory Health during Heating Period
p.919

Analysis on Explosion Characteristics of Coal Gangue Hills
p.924

Application of the MCF-7 Breast Cancer Cells in Endocrine-Disrupting Area
p.928

Assessment of Hepatic Antioxidant Parameters in Zebrafish upon Exposure to Urban River Water
p.936

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 955-959Wavelet Denoising Method for RF Signal

Wavelet Denoising Method for RF Signal

Abstract:

To reduce the noises in received RF signal and improve the performance of RFID system, a novelty denoising method of wavelet transform in RFID system was proposed in this paper. It analyzed wavelet transform method and FFT method,then introduced wavelet transform principle and wavelet coefficients threshold denoising method. According to the standard ISO18000-3,the RF signal at 13.56MHz was simulated using modulation toolbox in LabVIEW environment. At last, the RF signal with Gauss white noise together, was denoised by wavelet transform method and FFT method respectively. Simulation results showed that the wavelet transform denoising method has higher accuracy, better effect, compared with traditional FFT denoising method. The research on application of wavelet analysis in RF signal denoising is significant and practical. The wavelet analysis is applied to the field of virtual instrument, which can provide people with more accurate and convenient testing, and has good application prospects in engineering applications.

You might also be interested in these eBooks

Advances in Environmental Technologies III

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 955-959)

Pages:

911-915

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.955-959.911

Citation:

Cite this paper

Online since:

June 2014

Authors:

Shu Lai Liang, Zhou Guo Hou, Zhao Peng Li

Keywords:

FFT, LabVIEW, RF Signal, Wavelet Transform (WT)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Hao Z, LIU X, YUAN C. Wavelet Denoising and Its Implementation in LabVIEW [J]. Modern Electronics Technique, 2008, 7: 061: 166-170.

Google Scholar

[2] Yusen W, Ya Z X, Hua W, et al. A Weak Signals De-Noising Method Based On Virtual Instrument Technology[C]/Electronic Measurement and Instruments, 2007. ICEMI'07. 8th International Conference on. IEEE, 2007: 332-335.

DOI: 10.1109/icemi.2007.4350919

Google Scholar

[3] Yu C. Realization of wavelet soft threshold de-noising technology based on visual instrument[C]/Artificial Intelligence, 2009. JCAI'09. International Joint Conference on. IEEE, 2009: 849-852.

DOI: 10.1109/jcai.2009.135

Google Scholar

[4] Lu Ruilan, Wu Tiejun, Yu Ling. Performance Analysis of Denoising Methods Based on different Wavelet Generating Functions [J]. Spectroscopy and Spectral Analysis, 2004, 24(7): 826-829.

Google Scholar

[5] Tong G X, Lv F F, Tan J. Research of Noise Reduction Algorithm Based on Real Time[J]. Applied Mechanics and Materials, 2014, 532: 157-161.

DOI: 10.4028/www.scientific.net/amm.532.157

Google Scholar

[6] Kong Xiangwei, Wang Jing, Gongping. Radar Signal Denoising Methods Based on Wavelet Transformation[J]. Dalian University of Technology Journal, 2000, 40(3): 371-374.

Google Scholar

[7] D.L. Donoho, Denoising by Soft-Thresholding [J] . IEEE Transactions on Information Theory, 1995, 41(5): 613-627.

DOI: 10.1109/18.382009

Google Scholar