— 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.
— Denoising, matched filter, radar noise, SNR, wavelets.
M. S. Islam is with the University of Ulsan, Ulsan, South Korea (e-mail: email@example.com ).
U. Chong is with the University of Ulsan, Ulsan, South Korea, Houston, TX 77005 USA (e-mail: firstname.lastname@example.org).
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.