会议论文详细信息
International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"
Monopulse lidar Earth surface sounding method
材料科学;机械制造;原子能学
Belov, M.L.^1 ; Belov, A.M.^1 ; Gorodnichev, V.A.^1 ; Alkov, S.V.^1
Bauman Moscow State Technical University (BMSTU), 2nd Baumanskaya str., Moscow
105005, Russia^1
关键词: Ant colony algorithms;    Computation time;    Earth surface;    Expansion coefficients;    Hybrid particles;    Measurement data;    Measurement Noise;    Monitoring methods;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/537/2/022047/pdf
DOI  :  10.1088/1757-899X/537/2/022047
学科分类:材料科学(综合)
来源: IOP
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【 摘 要 】

The paper studies the monopulse lidar method capabilities for sounding the reflection coefficient of the earth surface. The mathematical modelling shows that the monopulse lidar method allows us to reconstruct spatial distribution of the reflection coefficient under measurement noise in a good-sized angular coverage of lidar. The most efficient for reconstruction of the reflection coefficients based on the measurement data (in terms of both the minimum errors and the computation time) are the hybrid particle swarm algorithm and simulated annealing and the ant colony algorithm. The monopulse lidar monitoring method using the hybrid particle swarm algorithm and simulated annealing and the ant colony algorithm allows (with an error of estimating expansion coefficients from units of per cent to 10 - 40% under measurement noise of 3%) adequate reconstruction of spatial distribution of the reflection coefficient on the earth surface under conditions of strongly and nonlinearly changeable reflection coefficient.

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