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Proceedings Paper

Analysis of wavelet-based denoising techniques as applied to a radar signal pulse
Author(s): Lori A. Steinbrunner; Frank F. Scarpino
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Paper Abstract

The purpose of the research is to study the effects of three wavelet-based denoising techniques on the structure of a radar signal pulse. The radar signal pulse is 50 microsecond(s) ec in duration with 2.0 MHz of Linear Frequency Modulation on Pulse. The Signal-to-Noise Ratio of the signal is fixed at 0.7. The comparison is accomplished in the time-domain and the FFT domain. In addition, the output from a FM Demodulator is examined. The comparisons are performed based upon MSE calculations and a visual inspection of the resulting signals. A comparison between the results outlined above and an ideal bandpass filter is also performed. A final comparison is discussed which compares the wavelet- based results outlined above and the results obtained from a bandpass filter that are offset in center frequency. The wavelet-based techniques can be shown to provide an advantage in visually detecting the radar signal pulse in low SNR environments over the results obtained from a bandpass filter approach in which the ideal filter characteristics are not known. All work is accomplished in MATLABTM.

Paper Details

Date Published: 29 September 1999
PDF: 12 pages
Proc. SPIE 3810, Radar Processing, Technology, and Applications IV, (29 September 1999); doi: 10.1117/12.364083
Show Author Affiliations
Lori A. Steinbrunner, Univ. of Dayton (United States)
Frank F. Scarpino, Univ. of Dayton (United States)


Published in SPIE Proceedings Vol. 3810:
Radar Processing, Technology, and Applications IV
William J. Miceli, Editor(s)

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