.png){kind=icon}
.png){kind=icon}
Return
A Model for Smoke Detection Using Single-Photon LiDAR Based on Mie Scattering Theory
.png){kind=icon}
PRE
AI
X
T
C
J
D
L
X
DOI：10.1109/jsen.2026.3707783.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In atmospheric aerosol media such as smoke, laser propagation is affected by scattering and absorption from smoke particles, leading to intensity attenuation and directional deviation. These effects significantly reduce the detection accuracy and reliability of LiDAR systems. Existing single-photon LiDAR detection models for smoke environments are predominantly developed under assumptions of a stationary atmosphere and constant background noise, and they often rely on oversimplified propagation processes, thus resulting in considerable ranging errors. This article proposes a single-photon LiDAR detection model for smoke environments based on Mie scattering theory, which enables a more accurate estimation of the complete photon path from laser emission and scattering within the medium to target reflection and final detection. Using this model, we conducted 1000 Monte Carlo simulations of echo signals for a 532-nm laser propagating through smoke. Key parameters such as the arrival time distribution of echo photons were obtained, and waveform comparisons and ranging error analyses were performed against experimental measurements. The results show that at an attenuation length (AL) of 1 AL, the simulation results agree well with the measured data. As the AL increases to 1.8 AL, the deviation becomes more pronounced; however, the simulated data still maintain consistent trends and orders of magnitude, and the ranging errors remain small, indicating that the model exhibits robust predictive capability under typical smoke conditions.
Keywords:
Mie scattering theory
Monte Carlo
ranging error
single-photon LiDAR
Journal
IF:
4.5
Papers:
2.1W
Citations:
7.3W
Organization
Cited Papers