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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 45, Iss. 22 — Aug. 1, 2006
  • pp: 5521–5531

Polarization-discrimination technique to maximize the lidar signal-to-noise ratio for daylight operations

Yasser Y. Hassebo, Barry Gross, Min Oo, Fred Moshary, and Samir Ahmed  »View Author Affiliations


Applied Optics, Vol. 45, Issue 22, pp. 5521-5531 (2006)
http://dx.doi.org/10.1364/AO.45.005521


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Abstract

The impact and potential of a polarization-selection technique to reduce the sky background signal for linearly polarized monostatic elastic backscatter lidar measurements are examined. Taking advantage of naturally occurring polarization properties in scattered skylight, we devised a polarization-discrimination technique in which both the lidar transmitter and the receiver track and minimize detected sky background noise while maintaining maximum lidar signal throughput. Lidar elastic backscatter measurements, carried out continuously during daylight hours at 532   nm , show as much as a factor of 10 improvement in the signal-to-noise ratio (SNR) over conventional unpolarized schemes. For vertically pointing lidars, the largest improvements are limited to the early morning and late afternoon hours, while for lidars scanning azimuthally and in elevation at angles other than vertical, significant improvements are achievable over more extended time periods with the specific times and improvement factors depending on the specific angle between the lidar and the solar axes. The resulting diurnal variations in SNR improvement sometimes show an asymmetry with the solar angle that analysis indicates can be attributed to changes in observed relative humidity that modifies the underlying aerosol microphysics and observed optical depth.

© 2006 Optical Society of America

OCIS Codes
(010.3640) Atmospheric and oceanic optics : Lidar
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(280.1100) Remote sensing and sensors : Aerosol detection
(280.3640) Remote sensing and sensors : Lidar

ToC Category:
System Modeling and Optimization

History
Original Manuscript: November 4, 2005
Revised Manuscript: April 20, 2006
Manuscript Accepted: April 26, 2006

Citation
Yasser Y. Hassebo, Barry Gross, Min Oo, Fred Moshary, and Samir Ahmed, "Polarization-discrimination technique to maximize the lidar signal-to-noise ratio for daylight operations," Appl. Opt. 45, 5521-5531 (2006)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-45-22-5521

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