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Effects of Typical Emission Waveform on Laser Reflective Tomography Imaging
Author(s) -
Xinyuan Zhang,
Yihua Hu,
Naiqin Zhao,
Shilong Xu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/711/1/012105
Subject(s) - deconvolution , sawtooth wave , waveform , optics , convolution (computer science) , projection (relational algebra) , gaussian , physics , pulse (music) , mathematics , computer science , artificial intelligence , algorithm , telecommunications , detector , quantum mechanics , voltage , artificial neural network
Laser reflective tomography imaging is a new imaging method of long distance and high resolution. The echo could be expressed as the convolution of incident waveform and the reflectance projection distribution, so the deconvolution effect of the echo obtained by different emission waveforms is also different. In order to explore the reflectance projection distribution obtained by deconvolution of different emission waveforms under the same SNR, we simulated four kinds of emission pulses and from the comparison of the RMS of Euclidean distance between deconvolution results and reality results, we found that Gaussian pulse could be selected as the most suitable emission waveform when the SNR was less than 40, and when the SNR was larger, Sawtooth pulse was the best choice.

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