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http://dx.doi.org/10.3807/KJOP.2020.31.2.059

Numerical Modeling of a Short-range Three-dimensional Flash LIDAR System Operating in a Scattering Atmosphere Based on the Monte Carlo Radiative Transfer Matrix Method  

An, Haechan (SNU Laser Laboratory, Department of Electrical and Computer Engineering, Seoul National University)
Na, Jeongkyun (SNU Laser Laboratory, Department of Electrical and Computer Engineering, Seoul National University)
Jeong, Yoonchan (SNU Laser Laboratory, Department of Electrical and Computer Engineering, Seoul National University)
Publication Information
Korean Journal of Optics and Photonics / v.31, no.2, 2020 , pp. 59-70 More about this Journal
Abstract
We discuss a modified numerical model based on the Monte Carlo radiative transfer (MCRT) method, i.e., the MCRT matrix method, for the analysis of atmospheric scattering effects in three-dimensional flash LIDAR systems. Based on the MCRT method, the radiative transfer function for a LIDAR signal is constructed in a form of a matrix, which corresponds to the characteristic response. Exploiting the superposition and convolution of the characteristic response matrices under the paraxial approximation, an extended computer simulation model of an overall flash LIDAR system is developed. The MCRT matrix method substantially reduces the number of tracking signals, which may grow excessively in the case of conventional Monte Carlo methods. Consequently, it can readily yield fast acquisition of the signal response under various scattering conditions and LIDAR-system configurations. Using the computational model based on the MCRT matrix method, we carry out numerical simulations of a three-dimensional flash LIDAR system operating under different atmospheric conditions, varying the scattering coefficient in terms of visible distance. We numerically analyze various phenomena caused by scattering effects in this system, such as degradation of the signal-to-noise ratio, glitches, and spatiotemporal spread and time delay of the LIDAR signals. The MCRT matrix method is expected to be very effective in analyzing a variety of LIDAR systems, including flash LIDAR systems for autonomous driving.
Keywords
Lidar; Multiple scattering; Atmospheric scattering; Radiative transfer; Numerical approximation and analysis;
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