3-D lidar echo decomposition based on particle swarm optimization
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Corresponding author:
WANG Yuanqing, yqwang@nju.edu.cn
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Received Date:
2015-01-06
Accepted Date:
2015-04-30
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Abstract
In order to improve accuracy and precision of lidar echo decomposition, the theory combining particle swarm optimization algorithm with the least squares method was used and the principles of lidar echo decomposition and particle swarm optimization algorithm were analyzed. The application of particle swarm optimization algorithm in lidar echo decomposition was studied. After theoretical analysis and experimental verification, real data of decomposition experiment was gotten. The results show that lidar echo can be decomposed into a series of single waveform by the combining method. The fitting degree was improved to 0.989 by using the parameters of time delay, intensity and pulse width. It may reduce noise interference to some extent. The result shows this algorithm is effective and feasible.
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