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An automated processing method for atmospheric detection lidar

A lidar and atmospheric detection technology, applied in the field of measurement and testing, can solve problems such as the inability to automatically select the reference height of molecules, and achieve the effect of solving backscattering coefficient inversion errors and avoiding time costs.

Active Publication Date: 2022-06-21
BEIJING RES INST OF TELEMETRY +1
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention aims to solve the problem that the molecular reference height cannot be automatically selected during laser radar data inversion, and provides an automatic processing method for atmospheric detection laser radar, which combines effective signal detection, molecular layer signal screening and wavelet transform cloud layer identification, It has the advantages of no need for manual intervention, fast processing speed, and accurate inversion results

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  • An automated processing method for atmospheric detection lidar
  • An automated processing method for atmospheric detection lidar
  • An automated processing method for atmospheric detection lidar

Examples

Experimental program
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Effect test

Embodiment 1

[0056] like figure 1 As shown, an automatic processing method for atmospheric detection lidar includes the following steps:

[0057] S1. Radar signal correction: The signal correction module performs detector response correction and geometric overlap factor correction on the original echo signal of the atmospheric sounding lidar, and obtains the signal-to-noise ratio of the corrected lidar signal and the corrected lidar signal. The linearity of the radar signal is consistent;

[0058] S2. Distance correction: The preprocessing module performs background removal and distance correction on the corrected lidar signal to obtain a distance correction signal;

[0059] S3. Determine the farthest detection distance: The automatic processing module determines the farthest detection distance of the effective signal of the atmospheric detection lidar according to the signal-to-noise ratio, and compares the farthest detection distance with the minimum distance of the molecular layer. If ...

Embodiment 2

[0065] like figure 1 As shown, an automatic processing method for atmospheric detection lidar includes the following steps:

[0066] S1. Radar signal correction: The signal correction module performs detector response correction and geometric overlap factor correction on the original echo signal of the atmospheric sounding lidar, and obtains the signal-to-noise ratio of the corrected lidar signal and the corrected lidar signal. The linearity of the radar signal is consistent;

[0067] The signal correction module performs detector response correction on the original echo signal through the detector pulse stacking correction curve;

[0068] like figure 2 As shown, step S1 includes the following steps:

[0069] S11. Obtain the corrected lidar signal: the atmospheric detection lidar adopts the photon counting mode for signal acquisition and processing. When the photoelectric pulses output by the detector appear pulse stacking, use the pre-corrected detector pileup to respond ...

Embodiment 3

[0099] like figure 1 As shown, an automatic processing method for atmospheric detection lidar includes the following steps:

[0100] S1. Radar signal correction: The signal correction module performs detector response correction and geometric overlap factor correction on the original echo signal of the atmospheric sounding lidar, and obtains the signal-to-noise ratio of the corrected lidar signal and the corrected lidar signal. The linearity of the radar signal is consistent;

[0101] The signal correction module performs detector response correction on the original echo signal through the detector pulse stacking correction curve;

[0102] like figure 2 As shown, step S1 includes the following steps:

[0103] S11. Obtain the corrected lidar signal: The atmospheric detection lidar adopts the photon counting mode for signal acquisition and processing. When the photoelectric pulses output by the detector appear pulse stacking, the pre-corrected detector pileup is used to respon...

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Abstract

The invention provides an automatic processing method for atmospheric detection laser radar, including radar signal correction, distance correction, determining the farthest detection distance of the effective echo signal of the laser radar according to the signal-to-noise ratio, calculating atmospheric molecular signals according to the standard atmospheric model, and combining The laser radar signal and the atmospheric molecular signal determine the atmospheric molecular layer, use the wavelet transform to determine the cloud layer, and combine the effective signal to detect the signal-to-noise ratio, molecular layer and cloud layer to determine the range of aerosol-free height required for calculating optical parameters, according to the determined aerosol-free height Scope Calculation of backscatter / extinction coefficients using Fernald or Klett methods. The invention combines effective signal detection, molecular layer signal screening and wavelet transform cloud layer identification, and has the advantages of no manual intervention, fast processing speed and accurate inversion results. This method is applicable to the vertical detection mode and the oblique range measurement mode of the atmospheric detection lidar, and can effectively improve the data retrieval speed of the backscatter coefficient or extinction coefficient.

Description

technical field [0001] The invention relates to the technical field of measurement and testing, in particular to an automatic processing method for atmospheric detection laser radar. Background technique [0002] Atmospheric aerosols and clouds play an important role in the process of global climate and environmental changes, and have an important impact on the atmospheric environment, climate radiation and light transmission in the atmosphere. The measurement and study of the scattering and absorption properties, transformation properties and spatiotemporal distribution of aerosols has become a common problem in climate, environment and atmospheric research. [0003] As an active remote sensing device, laser radar has the characteristics of high collimation, high monochromaticity and high brightness, which makes the detection of the atmosphere by lidar have many advantages that other instruments do not have. Compared with radio radar and microwave radar, lidar has a shorte...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/48G01S7/497G01S17/95
CPCG01S7/4802G01S7/497G01S17/95Y02A90/10
Inventor 赵一鸣王丽东潘超胡涛涛商雅楠郭畅于勇李凉海
Owner BEIJING RES INST OF TELEMETRY