An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar
Photon counting lidar for long-range detection faces the problem of declining ranging performance caused by background noise. Current anti-noise methods are not robust enough in the case of weak signal and strong background noise, resulting in poor ranging error. In this work, based on the character...
Main Authors: | Mingwei Huang, Zijing Zhang, Jiaheng Xie, Jiahuan Li, Yuan Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-11-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/11/1499 |
Similar Items
-
A Method for Maintaining the Stability of Range Walk Error in Photon Counting Lidar With Probability Distribution Regulator
by: Jiaheng Xie, et al.
Published: (2019-01-01) -
Prediction of the Number of Cumulative Pulses Based on the Photon Statistical Entropy Evaluation in Photon-Counting LiDAR
by: Mingwei Huang, et al.
Published: (2023-03-01) -
Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar
by: Yang Yu, et al.
Published: (2019-08-01) -
Detection Probability Analysis of True Random Coding Photon Counting Lidar
by: Yang Yu, et al.
Published: (2021-11-01) -
Efficient and Noise Robust Photon-Counting Imaging with First Signal Photon Unit Method
by: Kangjian Hua, et al.
Published: (2021-06-01)