Method for solving dynamic radar ratio of laser radar according to real-time aerosol distribution

Abstract

The invention discloses a method for solving the dynamic radar ratio of a laser radar according to real-time aerosol distribution. The method is suitable for the conditions of clear sky and few clouds. The method comprises the following steps: 1) measuring by an aerosol extinction coefficient sensor to obtain a ground actually-measured aerosol extinction coefficient [alpha]a(r0); 2) calculating a radar signal P(r0) at the ground; 3) giving a pre-estimation radar ratio suitable for the local; 4) fitting the extinction coefficients of the ground and the uniformly mixed part; 5) reversely substituting into a Fernald backward integral equation to solve the dynamic radar; 6) carrying out iteration on the inverse substitution algorithm; and 7) performing inversion to obtain a distribution profile of the extinction coefficient of the aerosol. On the basis of the Fernald method, the method for solving the dynamic radar ratio according to the real-time aerosol distribution is provided, the purpose of radar ratio localization can be achieved, the method is used for improving the precision of a laser radar inversion algorithm, and therefore the more accurate distribution profile of the aerosol extinction coefficient can be obtained.

Description

technical field [0001] The invention relates to a method for solving the radar ratio, in particular to a method for solving the dynamic radar ratio of the laser radar according to the real-time aerosol distribution. Background technique [0002] The original equation of lidar is [0003] [0004] Among them, r represents the height; P(r) represents the normalized backscattering signal of the lidar; C represents the radar constant, and E represents the pulse energy. When the radar works stably, these two values ​​are regarded as constants. It is worth noting that (1) contains two unknown variables, which obviously cannot be solved directly. When solving (1), Fernald regards the atmosphere as composed of two parts: atmospheric molecules and aerosols, that is, the atmospheric extinction coefficient α is the aerosol extinction coefficient α a and the extinction coefficient α of atmospheric molecules m (the marks a and m respectively represent aerosol and atmospheric molecu...

AI Technical Summary

Problems solved by technology

Although Raman radar and high-spectral resolution lidar can achieve effective detection of aerosol lidar at different heights, the two have complex spectroscopic systems, weak echo signals, short detection distance, and low signal-to-noise ratio. However, the joint method of limiting lidar through satellite data, because the spatial resolution of satellite data is too low for single-station lidar, the two data cannot be completely corresponding, which will cause a large error

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