A device and method for self-calibrating geometric factors of laser radar

Abstract

The invention relates to an apparatus and method for the geometric factor self-calibration of a laser radar and belongs to the laser atmospheric remote sensing technical field. The device comprises a laser, a main wave pulse generator, a secondary receiving mirror cover, a secondary receiving mirror, a light guide optical fiber, a main receiving mirror cover, a main receiving mirror, a reflex mirror, a red and green dichroic light splitter, a 1064nm narrowband filter, a APD detector, a blue and green dichroic light splitter, a polarization and beam splitting prism, a first 532nm narrowband filter, a first PMT detector, a 355nm narrowband filter, a second 532nm narrowband filter, a second PMT detector, a third PMT detector and an integrated acquisition system. The apparatus and method of the present invention have great advantages in terms of system scale, cost, usability, reliability and the like.

Description

technical field [0001] The invention relates to a device and method for self-calibrating geometric factors of laser radar, which belong to the technical field of laser atmospheric remote sensing. The device is applied to ground-based or airborne laser radar, which can improve the detection of close-range clouds, aerosols, and temperature Remote sensing capabilities of atmospheric parameters such as humidity and humidity. Background technique [0002] Lidar is an effective means to achieve high spatial resolution, high time resolution, and all-day detection of various atmospheric parameters (clouds, aerosols, temperature, humidity, etc.), and is widely used in many fields such as climate, meteorology, and environment. research significance and application value. [0003] The principle of a typical laser radar device is as follows: figure 1 shown. In the laser radar device, the laser 1 emits laser pulses, and at the same time, the main wave generator 2 collects the laser pu...

AI Technical Summary

Problems solved by technology

[0009] The problem with the first method above is that for most lidar devices, it is often difficult to perform level correction without a turntable, and it is also difficult to achieve atmospheric conditions without aerosol influence (such as at a certain altitude). Methods such as Mann or CCD scattering need to add independent detection channels or detection devices to increase considerable hardware configuration and also require complex inversion methods to achieve

The problem with the second method is: high requirements on cost and system size

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