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General Information
Editor-in-chief

 
Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2014 Vol.4(2): 116-120 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2014.V4.419

Comparative Analysis of Matched Filter and Wavelets for Radar Noise Reduction

Md Saiful Islam and Uipil Chong
Abstract— This paper compares Matched filter and Wavelet transform applied to both Continuous Wave Radar and Pulse Radar signals to reduce the noise. For removing noise and extracting signal, Wavelet analysis is one of the most important methods. The denoising application of the wavelets has been used in spectrum cleaning of the atmospheric radar signals. Matched filter has strong anti-noise ability; it can also achieve accurate pulse compression in a very noisy environment. This paper analyzes the algorithms of Matched filter and Wavelets that are used in radar signal processing to reduce the noise. The simulation results indicate that Matched filter has strong anti-noise ability for Pulse Radar and Wavelet for Continuous Wave Radar.

Index Terms— Denoising, matched filter, radar noise, SNR, wavelets.

M. S. Islam is with the University of Ulsan, Ulsan, South Korea (e-mail: saiful05eee@yahoo.com ).
U. Chong is with the University of Ulsan, Ulsan, South Korea, Houston, TX 77005 USA (e-mail: upchong@ulsan.ac.kr).

[PDF]

Cite: Md Saiful Islam and Uipil Chong, " Comparative Analysis of Matched Filter and Wavelets for Radar Noise Reduction," International Journal of Information and Electronics Engineering vol. 4, no. 2, pp. 116-120, 2014.

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