Application of a simple adaptive estimator for an atmospheric Doppler Radar

Mark Pinsky; Jordi Figueras I Ventura; Tobias Otto; Alexander Sterkin; Alexander Khain; Herman W.J. Russchenberg

doi:https://doi.org/10.1109/TGRS.2010.2052055

Application of a simple adaptive estimator for an atmospheric Doppler Radar

Mark Pinsky, Jordi Figueras I Ventura, Tobias Otto, Alexander Sterkin, Alexander Khain, Herman W.J. Russchenberg

Fredy & Nadine Herrmann Institute of Earth Sciences

The Hebrew University of Jerusalem

Research output: Contribution to journal › Article › peer-review

Abstract

A simple method for estimating parameters of the Doppler spectrum of atmospheric signals is described. The method is based on an adaptive filter processing that has been widely used in telecommunications but rarely applied in measurements using atmospheric radars. The method has been tested using both synthetic and real data obtained by the radar profilerTransportable Atmospheric Radar (TARA)and the weather radarInternational Research Centre for Telecommunications and Radar (IRCTR) Drizzle Radar (IDRA)both developed by IRCTR. The method is compared with the traditional pulse-pair method and fast Fourier transform (FFT)-based methods, as well as with the IRCTR FFT-based method implemented in the TARA and IDRA processing including an additional noise clipping stage. The tests have demonstrated high efficiency of the adaptive filtering estimator under low signal-to-noise ratio conditions. The applicability of adaptive estimations in radar meteorology and the limitations associated with a sample length are discussed.

Original language	English
Article number	5540285
Pages (from-to)	115-127
Number of pages	13
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	49
Issue number	1 PART 1
DOIs	https://doi.org/10.1109/TGRS.2010.2052055
State	Published - Jan 2011

Keywords

Adaptive estimation
Doppler radar
atmospheric measurements
spectral moments

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
General Earth and Planetary Sciences

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title = "Application of a simple adaptive estimator for an atmospheric Doppler Radar",

abstract = "A simple method for estimating parameters of the Doppler spectrum of atmospheric signals is described. The method is based on an adaptive filter processing that has been widely used in telecommunications but rarely applied in measurements using atmospheric radars. The method has been tested using both synthetic and real data obtained by the radar profilerTransportable Atmospheric Radar (TARA)and the weather radarInternational Research Centre for Telecommunications and Radar (IRCTR) Drizzle Radar (IDRA)both developed by IRCTR. The method is compared with the traditional pulse-pair method and fast Fourier transform (FFT)-based methods, as well as with the IRCTR FFT-based method implemented in the TARA and IDRA processing including an additional noise clipping stage. The tests have demonstrated high efficiency of the adaptive filtering estimator under low signal-to-noise ratio conditions. The applicability of adaptive estimations in radar meteorology and the limitations associated with a sample length are discussed.",

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note = "Funding Information: Manuscript received June 14, 2009; revised November 25, 2009 and March 22, 2010; accepted April 25, 2010. Date of publication August 5, 2010; date of current version December 27, 2010. This work was supported in part by the Israel Academy of Science Foundation under Grant 950/07 and in part by the Israel Ministry of Science (German–Israel collaboration in Water Resources) under Grant WT 0403. The work of J. Figueras i Ventura was supported by the Dutch Climate Change Spatial Planning Program.",

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AU - Otto, Tobias

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AU - Khain, Alexander

AU - Russchenberg, Herman W.J.

N1 - Funding Information: Manuscript received June 14, 2009; revised November 25, 2009 and March 22, 2010; accepted April 25, 2010. Date of publication August 5, 2010; date of current version December 27, 2010. This work was supported in part by the Israel Academy of Science Foundation under Grant 950/07 and in part by the Israel Ministry of Science (German–Israel collaboration in Water Resources) under Grant WT 0403. The work of J. Figueras i Ventura was supported by the Dutch Climate Change Spatial Planning Program.

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N2 - A simple method for estimating parameters of the Doppler spectrum of atmospheric signals is described. The method is based on an adaptive filter processing that has been widely used in telecommunications but rarely applied in measurements using atmospheric radars. The method has been tested using both synthetic and real data obtained by the radar profilerTransportable Atmospheric Radar (TARA)and the weather radarInternational Research Centre for Telecommunications and Radar (IRCTR) Drizzle Radar (IDRA)both developed by IRCTR. The method is compared with the traditional pulse-pair method and fast Fourier transform (FFT)-based methods, as well as with the IRCTR FFT-based method implemented in the TARA and IDRA processing including an additional noise clipping stage. The tests have demonstrated high efficiency of the adaptive filtering estimator under low signal-to-noise ratio conditions. The applicability of adaptive estimations in radar meteorology and the limitations associated with a sample length are discussed.

AB - A simple method for estimating parameters of the Doppler spectrum of atmospheric signals is described. The method is based on an adaptive filter processing that has been widely used in telecommunications but rarely applied in measurements using atmospheric radars. The method has been tested using both synthetic and real data obtained by the radar profilerTransportable Atmospheric Radar (TARA)and the weather radarInternational Research Centre for Telecommunications and Radar (IRCTR) Drizzle Radar (IDRA)both developed by IRCTR. The method is compared with the traditional pulse-pair method and fast Fourier transform (FFT)-based methods, as well as with the IRCTR FFT-based method implemented in the TARA and IDRA processing including an additional noise clipping stage. The tests have demonstrated high efficiency of the adaptive filtering estimator under low signal-to-noise ratio conditions. The applicability of adaptive estimations in radar meteorology and the limitations associated with a sample length are discussed.

KW - Adaptive estimation

KW - Doppler radar

KW - atmospheric measurements

KW - spectral moments

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M3 - مقالة

SN - 0196-2892

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EP - 127

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

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M1 - 5540285

ER -

Application of a simple adaptive estimator for an atmospheric Doppler Radar

Abstract

Keywords

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