Laser & Infrared, Volume. 55, Issue 7, 1044(2025)

Research on simulation method of polarization laser smoke transmission characteristics

ZHONG Guo-shun1, LI Meng1, SUN Jian-feng2, and LIU Qiu-zuo1
Author Affiliations
  • 1The 11th Research Institute of CETC, Beijing 100015, China
  • 2National Key Laboratory of Laser Spatial Information, Institute of Opto-Electronic, Harbin Institute of Technology, Harbin 150001, China
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    Studying the smoke transmission characteristics of polarized lasers is crucial for enhancing anti-smoke interference imaging capabilities. The traditional Monte Carlo methods (MC methods) lack the tracking and recording of photon polarization and phase information when simulating beam transmission characteristics. Based on Mie scattering theory and the Electric Field Monte Carlo method (EMC method), different polarized lasers are selected for the simulation modeling of the laser smoke channel transmission characteristics, and the variation patterns of intensity and depolarization are analyzed. The results demonstrate that scattered photons maintain near-Gaussian distribution in the plane under Gaussian beam incidence. Meanwhile, with increasing attenuation distance, beam intensity decreases, diffusion broadens, and the degree of depolarization intensifies, gradually approaching unpolarized light. Comparative analysis with other fully polarized lights reveals that circularly polarized light exhibits the lowest degree of depolarization after transmission, demonstrating superior polarization-maintaining performance. This study holds theoretical guiding significance for the research on LiDAR imaging in the presence of smoke interference.

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    ZHONG Guo-shun, LI Meng, SUN Jian-feng, LIU Qiu-zuo. Research on simulation method of polarization laser smoke transmission characteristics[J]. Laser & Infrared, 2025, 55(7): 1044

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    Paper Information

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    Received: Mar. 5, 2025

    Accepted: Sep. 12, 2025

    Published Online: Sep. 12, 2025

    The Author Email:

    DOI:10.3969/j.issn.1001-5078.2025.07.006

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