Decomposition Algorithm of Laser Reflecting Waveform Based on Particle Swarm Optimization
Can Dai, Yuanqing Wang, Fan Xu
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.82How to use a DOI?
- LiDAR; Signal processing; Waveform decomposition; Particle Swarm Optimization
- 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.
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 -