Intermittent Intensity Clutter Removal of Wind Profiling Radar Based on FrFT

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Abstract:

Intermittent intensity clutter in wind profiling radar severely interferes with the identification and spectrum estimation of atmospheric echo signals. In order to remove such clutter, a method based on Fractional Fourier transform (FrFT) is presented. The proposed method makes use of energy concentration property of intermittent clutter in fractional Fourier frequency domain. Not only the intermittent intensity clutter can be removed in the fractional Fourier frequency domain by using a narrow band-stop filter, but also the atmospheric signal in the time domain can be reconstructed after removing the clutter. Computer simulations have verified the effectiveness of the method.

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2094-2097

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October 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Eric Boyer, Pascal Larzabal, Claude Adnet. Parametric Spectral Moments Estimation for Wind Profiling Radar[J]. IEEE Trans., On Geoscience and Remote Sensing, Vol. 41(8): 1859-1868. (2003).

DOI: 10.1109/tgrs.2003.813487

Google Scholar

[2] Michihiro S. Teshiba, Phillip B. Chilson. A Combined Wind Profiler and Polarimetric Weather Radar Method for the Investigation of Precipitation and Vertical Velocities[J]. Journal of Atmospheric and Oceanic Technology, Vol. 26: 1940-1955. (2009).

DOI: 10.1175/2008jtecha1102.1

Google Scholar

[3] S. Varadarajan, K. Jithendra Reddy, G. Ramachandra. Wind Profile detection of atmosheric radar signals using waveletes and harmonic decomposition techniques[J]. Atmospheric Science Letters, Vol. 5(7): 152-161. (2004).

DOI: 10.1002/asl.78

Google Scholar

[4] M. Martone. A multicarrier system based on the Fractional Fourier Transform for time– frequency-selective channels. IEEE Trans. Communications. Vol. 49(6): 1011-1020. (2001).

DOI: 10.1109/26.930631

Google Scholar

[5] L.J. Stankovic, T. Alieva, M.J. Bastiaans. Time-frequency signal analysis based on the windowed fractional Fourier transform, Signal Processing, Vol. 83(11): 2459-2468. (2003).

DOI: 10.1016/s0165-1684(03)00197-x

Google Scholar