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METHOD FOR SOLVING THE INVERSE PROBLEM OF LIDAR SOUNDING OF A WEAKLY TURBID ATMOSPHERE

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The problem of reliability of aerosol parameters determination by lidar sensing methods is considered. Linearized algorithms for processing signals from lidar sounding of a weakly turbid atmosphere are presented. To improve the accuracy of the results, it is proposed to use the least squares method with a predetermined background illumination value. Along with the microstructural characteristics of aerosol particles, an approximate value of the attenuation coefficient is determined from the experimental trace-meter measurements data. Using results of background illumination calculation, an expression is obtained for magnitude of the attenuation coefficient deviation from its approximate value. The accuracy of determining the attenuation coefficient when solving a system of two equations is shown to be higher than when solving a system of three equations, but it is insufficient in the case of single sensing pulse. To improve the accuracy, a large number of echo signals along the sounding path are analyzed. The presented results relate to typical parameters of the aerosol of a slightly turbid atmosphere and typical characteristics of sounding lidars.

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