Analysis of wavelet-based denoising techniques as applied to a radar signal pulse

Lori A. Steinbrunner; Frank F. Scarpino

doi:10.1117/12.364083

29 September 1999 Analysis of wavelet-based denoising techniques as applied to a radar signal pulse

Lori A. Steinbrunner, Frank F. Scarpino

Proceedings Volume 3810, Radar Processing, Technology, and Applications IV; (1999) https://doi.org/10.1117/12.364083
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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 MATLAB^TM.

Citation Download Citation

Lori A. Steinbrunner and Frank F. Scarpino "Analysis of wavelet-based denoising techniques as applied to a radar signal pulse", Proc. SPIE 3810, Radar Processing, Technology, and Applications IV, (29 September 1999); https://doi.org/10.1117/12.364083

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