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Laser radar echo signal Gaussian inflection point selection decomposition method

An echo signal and lidar technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as numerical distortion and inappropriate decomposition of echo signals

Pending Publication Date: 2021-12-31
GUILIN UNIVERSITY OF TECHNOLOGY
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the inflection point method can find Gaussian parameters, it is not suitable for decomposing complex echo signals. In parameter fitting, Gaussian waveforms tend to produce negative oscillation waveforms, resulting in numerical distortion during distance extraction.

Method used

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  • Laser radar echo signal Gaussian inflection point selection decomposition method
  • Laser radar echo signal Gaussian inflection point selection decomposition method
  • Laser radar echo signal Gaussian inflection point selection decomposition method

Examples

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Embodiment 1

[0033] Taking the 16384 echo signal data of Issaquina County (34°07′, N, 88°28′, E), Mississippi, USA as an example, this example provides a Gaussian inflection point selection decomposition algorithm, including the following steps:

[0034] (1) Collect the full waveform lidar echo signal, for example, obtain it from the LVIS website https: / / lvis.gsfc.nasa.gov / Data / Maps / GEDI2019Map.html ;

[0035] (2) Preprocessing the data in step 1;

[0036] (2-1) Use the Savizkg-Golag algorithm to denoise the original data;

[0037] (2-2) Use the five-point cubic smoothing algorithm to smooth the original data;

[0038] (2-3) Calculate the average value of the first and last 10% sampling points of the original data as the background noise Noise;

[0039] (2-4) Use the following formula to calculate the threshold σ for iteration stop th :

[0040]

[0041] σ th =3σ n +Noise (3)

[0042] Y(t) is the original data, f(t) is the filtered sampling point data, and n is the number of...

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Abstract

The invention discloses a laser radar echo signal Gaussian inflection point selection decomposition method. The method comprises the following steps: (1) collecting corresponding laser radar echo signal data; (2) preprocessing the laser radar echo signal data; (3) constructing a Gaussian model and solving; and (4) verifying the precision of the Gaussian model. The method is simple and convenient to operate and high in efficiency, can effectively decompose the complex laser radar echo signal, especially the complex laser radar echo signal with only one peak value, provides a convenient decomposition algorithm for decomposition of the laser radar echo signal, and has important significance in laser radar remote sensing detection.

Description

technical field [0001] The invention relates to the field of laser radar, in particular to laser radar data processing, and proposes a Gaussian selection inflection point decomposition method for laser radar echo signals. Background technique [0002] Lidar has been widely used in surveying and mapping, geology, urban planning, agricultural development, water conservancy and hydropower, civil engineering, environmental detection and other fields. In order to obtain high-precision lidar point cloud data, effective waveform decomposition of full-waveform lidar echo signals has become a hot spot in full-waveform lidar data processing. [0003] The process of the full waveform laser radar echo signal is: the laser is emitted from the laser, and after the laser is irradiated on the ground object, the receiver receives the reflected light of the ground object and stores the data, and then converts the stored data into digital Form, the obtained data is the full waveform lidar ech...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/418Y02A90/10
Inventor 周国清邓荣华周祥李伟豪李先行林港超
Owner GUILIN UNIVERSITY OF TECHNOLOGY