Skip to main content

Comparison of signal processing methods in remote temperature measurements by pure rotational Raman spectra

Atmospheric and Oceanic Optics volume 23, pages 523–527 (2010)Cite this article

Abstract

Using estimation theory, we study an optimal algorithm for estimating temperature by the rotational Raman spectra of light scattering by molecules of atmospheric nitrogen and oxygen. The simulation technique is used for comparing the optimal estimation algorithm with the parameter fitting procedure and an heuristic algorithm commonly used for calculating temperature by pure rotational spectra.

This is a preview of subscription content, access via your institution.

Access options

Buy single article

Instant access to the full article PDF.

USD 39.95

Price includes VAT (USA)
Tax calculation will be finalised during checkout.

References

  1. Yu. F. Arshinov, S. M. Bobrovnikov, V. E. Zuev, and V. M. Mitev, “Atmospheric Temperature Measurements Using Pure Rational Raman Lidar,” Appl. Opt. 22, 2984–2990 (1983).

    Article  ADS  Google Scholar 

  2. D. Nedelikovich, A. Hauchecorne, and M. L. Chanin, “Rotational Raman Lidar to Measure Temperature from the Ground to 30 Km,” IEEE Trans. Geosci. Remote Sens. 31, 90–101 (1993).

    Article  ADS  Google Scholar 

  3. A. Behrendt and J. Reichardt, “Atmospheric Temperature Profiling in the Presence of Clouds with a Pure Rotational Raman Lidar by Use of an Interference-Filtr-Based Polychromator,” Appl. Opt. 39, 1372–1378 (2000).

    Article  ADS  Google Scholar 

  4. Photon Correlation. Spectroscopy and Velocimetry, Ed. by H. Z. Cummins and E. R. Pike (Plenum Press, New York, 1977; Mir, Moscow, 1978).

    Google Scholar 

  5. V. T. Goryainov, A. G. Zhuravlev, and V. I. Tikhonov, Examples and Problems in Statistical Radio Engineering (Sov. Radio, Moscow, 1980) [in Russian].

    Google Scholar 

  6. I. B. Serikov, Spectral Fil’tratsiya Interferometer Fabri-Perout of Lidar Responses of Rotational Combination Scattering of the Light, Candidate’s Dissertation in Mathematical Physics (Tomsk, 2005).

  7. J. Bard, Nonlinear Parameter Estimation (Academic Press, New York, 1974; Statistika, Moscow, 1979).

    MATH  Google Scholar 

  8. R. J. Butcher, D. V. Willetts, and W. J. Jones, “On the Use of Fabry-Perot Etalon for the Determination of Rotational Constants of Simple Molecules — the Pure Rotational Raman Spectra of Oxyden and Nitrogen,” Proc. R. Soc. London A 324(1557), 231–245 (1971).

    Article  ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences, pl. Akademika Zueva 1, Tomsk, 634021, Russia

    S. M. Bobrovnikov & A. I. Nadeev

Authors
  1. S. M. Bobrovnikov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. I. Nadeev
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Original Russian Text © S.M. Bobrovnikov, A.I. Nadeev, 2010, published in Optica Atmosfery i Okeana.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Bobrovnikov, S.M., Nadeev, A.I. Comparison of signal processing methods in remote temperature measurements by pure rotational Raman spectra. Atmos Ocean Opt 23, 523–527 (2010). https://doi.org/10.1134/S1024856010060126

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1024856010060126

Keywords

  • Lidar
  • Temperature Estimate
  • Signal Processing Method
  • Lidar Signal
  • Spectral Device