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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


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 languageAmerican English
Article number5540285
Pages (from-to)115-127
Number of pages13
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number1 PART 1
StatePublished - Jan 2011

Bibliographical 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.


  • Adaptive estimation
  • Doppler radar
  • atmospheric measurements
  • spectral moments


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