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Detection of weak optical signals in lidar measurements under noise conditions

  • Remote Sensing of Atmosphere, Hydrosphere, and Underlying Surface
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Abstract

An algorithm of weak optical signal processing in lidar measurements under intensive background radiation is described. The algorithm is based on transformation of the Poisson photoelectron flow forming at the output of the photodetector photocathode into a flux with sub-Poisson statistics due to its stochastic-determined “rarefaction.” The quality coefficients of the proposed algorithm are estimated.

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References

  1. V. M. Orlov, I. V. Samokhvalov, G. M. Krekov, V. L. Mironov, Yu. S. Balin, V. A. Banakh, M. L. Belov, Yu. D. Kopytin, and V. P. Lukin, in Signals and Noise in Laser Ranging, Ed. by V. E. Zuev (Radio i Svyaz’, Moscow, 1981).

    Google Scholar 

  2. V. M. Nikitin, V. N. Fomin, and E. G. Kolomiitsev, in Adaptive Noise Protection of Laser and Optical-Electronic Information Systems (Belgor. Gos. Univ., Belgorod, 2008) [in Russian].

    Google Scholar 

  3. V. M. Nikitin, V. N. Fomin, A. I. Nikolaev, and I. L. Borisenkov, in Adaptive Noise Protection of Laser and Optical-Electronic Information Systems (Belgor. Gos. Univ., Belgorod, 2008) [in Russian].

    Google Scholar 

  4. J. W. Goodman, Statistical Optics (Wiley, New York, 1985; Mir, Moscow, 1988).

    Google Scholar 

  5. G. Korn and T. Korn, Mathematical Handbook for Scientists and Engineers (Nauka, Moscow, 1974; McGraw-Hill, New York, 1961).

    Google Scholar 

  6. E. P. Nikolaev and M. S. Chubarev, “On Possibility of Practical Realisation of Emission Source with Sub-Poisson Photon Statistics,” Opt. Spektrosk. 63, 1378–1380 (1987) [Opt. Spectrosc. 63, 818 (1987)].

    Google Scholar 

  7. I. A. Bol’shakov, Statistical Problems in Selection of the Signal Flux from Noise (Sov. Radio, Moscow, 1969) [in Russian].

    Google Scholar 

  8. G. Han and S. Shapiro, Statistical Models in Engineer Problems (Mir, Moscow, 1968).

    Google Scholar 

  9. W. Feller, An Introduction to Probability Theory and Its Applications (Wiley, New York, 1967; Mir, Moscow, 1984).

    Google Scholar 

  10. E. G. Kolomiitsev, “Device of Remote Objects Detection in Conditions of Intensive Background Emission,” Request for Patent, Russia, Mkl3 G 01J1/44 No. 2009119762/28(027273) (25.05.2009).

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Correspondence to E. G. Kolomiitsev.

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Original Russian Text © E.G. Kolomiitsev, A.A. Kovalev, V.M. Nikitin, V.N. Fomin, 2011, published in Optica Atmosfery i Okeana.

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Kolomiitsev, E.G., Kovalev, A.A., Nikitin, V.M. et al. Detection of weak optical signals in lidar measurements under noise conditions. Atmos Ocean Opt 24, 223–230 (2011). https://doi.org/10.1134/S1024856011030109

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  • DOI: https://doi.org/10.1134/S1024856011030109

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