Synchronous measurement method of multi-meteorological parameters based on spectral characteristic signal and laser radar

Abstract

The invention provides a multi-meteorological-parameter synchronous measuring method based on spectrum characteristic signals and a laser radar. Various kinds of scattering spectrum characteristic information is extracted from a detected laser echo signal spectrum, further, inversion is carried out on the atmospheric wind field through the frequency deflection in the detection spectrum signals, the detection on the gas density is realized through detecting the Rayleigh scattering spectrum energy, the detection on the atmospheric temperature can be realized through detecting the full width at half maximum of the Brillouin scattering spectrum or the Brillouin frequency shift, and the detection on the aerosol concentration, optical thickness and the like is realized through detecting the Miescattering spectrum energy, so the defect of the single function of the traditional time domain laser radar is solved, and the goals of multi-parameter synchronous measurement and operation cost reduction are reached.

Description

technical field [0001] The invention relates to the field of laser radar, in particular to a multi-meteorological parameter synchronous measurement laser radar based on spectrum characteristic signal detection, which is used to detect low-altitude (0-30km) atmospheric wind field, gas density, atmospheric temperature, aerosol concentration, optical thickness. Background technique [0002] Atmospheric temperature, wind speed, and optical properties of aerosol and gas molecule scattering are critical to numerical weather forecasting, flux transport studies, and dynamical meteorology studies. For decades, the development of laser technology, signal detection, data acquisition and control technology has made lidar comprehensive in terms of detection height, vertical span, spatial resolution, continuous monitoring in time, and measurement accuracy of atmospheric meteorological parameters. The advantages are hard to compare with other detection methods. [0003] At present, Doppl...

AI Technical Summary

Problems solved by technology

Since various scattered echo signals cannot be distinguished in the time domain, when multiple meteorological parameters need to be obtained, multiple radars are often required to jointly measure, which makes the overall measurement cost more expensive. The scattering energy is too large, and it is impossible to measure other meteorological parameters except the optical characteristics of aerosol, which limits the function of each individual system's lidar

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