Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Decomposition Algorithm of Laser Reflecting Waveform Based on Particle Swarm Optimization

Authors
Can Dai, Yuanqing Wang, Fan Xu
Corresponding Author
Can Dai
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.82How to use a DOI?
Keywords
LiDAR; Signal processing; Waveform decomposition; Particle Swarm Optimization
Abstract
The laser system’s parameter fitting is an important step to the ranging and imaging, however, the complexity of the target object will cause the waveform superimposed, some existing algorithms are difficult to accurately obtain the parameters, by decomposing waveform into a series of continuous waveform can greatly improve the fitting accuracy. Considering the existing algorithm, LM algorithm’s accuracy depends on the initial value and is easy to be caught in local optima, if the initial value is inaccurate then it is difficult to get an accurate fitting results. The laser we use is not the standard Gaussian model in reality,it is asymmetric,so if we directly use the value acquired by the Gaussian model,the result will be inaccurate.This paper will consider and propose a lidar waveform decomposition process based on the combination of the PSO algorithm and the LM algorithm in order to improve the final precision.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.82How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Can Dai
AU  - Yuanqing Wang
AU  - Fan Xu
PY  - 2015/04
DA  - 2015/04
TI  - Decomposition Algorithm of Laser Reflecting Waveform Based on Particle Swarm Optimization
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.82
DO  - https://doi.org/10.2991/amcce-15.2015.82
ID  - Dai2015/04
ER  -