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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 22, issue 11
Ann. Geophys., 22, 3995–4003, 2004
https://doi.org/10.5194/angeo-22-3995-2004
© Author(s) 2004. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: 10th International Workshop on Technical and Scientific Aspects...

Ann. Geophys., 22, 3995–4003, 2004
https://doi.org/10.5194/angeo-22-3995-2004
© Author(s) 2004. This work is distributed under
the Creative Commons Attribution 3.0 License.

  29 Nov 2004

29 Nov 2004

Multitaper spectral analysis of atmospheric radar signals

V. K. Anandan1,*, C. J. Pan1, T. Rajalakshmi2, and G. Ramachandra Reddy2 V. K. Anandan et al.
  • 1Institute of Space Science, National Central University, Chung-Li, 32054, Taiwan
  • *on leave from National MST Radar Facility, Gadanki, India
  • 2Department of EEE, SV University, Tirupati, AP, 517 502, India

Abstract. Multitaper spectral analysis using sinusoidal taper has been carried out on the backscattered signals received from the troposphere and lower stratosphere by the Gadanki Mesosphere-Stratosphere-Troposphere (MST) radar under various conditions of the signal-to-noise ratio. Comparison of study is made with sinusoidal taper of the order of three and single tapers of Hanning and rectangular tapers, to understand the relative merits of processing under the scheme. Power spectra plots show that echoes are better identified in the case of multitaper estimation, especially in the region of a weak signal-to-noise ratio. Further analysis is carried out to obtain three lower order moments from three estimation techniques. The results show that multitaper analysis gives a better signal-to-noise ratio or higher detectability. The spectral analysis through multitaper and single tapers is subjected to study of consistency in measurements. Results show that the multitaper estimate is better consistent in Doppler measurements compared to single taper estimates. Doppler width measurements with different approaches were studied and the results show that the estimation was better in the multitaper technique in terms of temporal resolution and estimation accuracy.

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