Monopulse lidar Earth surface sounding method

Abstract

Abstract 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.