Optimization of Multiple Laser Range Finder Distribution Based on Genetic Algorithm

This paper deals with the optimization of multiple laser ranger finder distribution used for Shipborne Unmanned Aerial Vehicles (UAVs) automatic landing. The aim of this study is to improve the measurement accuracy of shipborne multiple laser ranger finder intersection location method. Firstly, the exact mathematical relationship between the distribution and measurement accuracy of multiple laser ranger finder is discussed, and the objective function of optimization is constructed. Then the geometry of the ship deck which will constrain the distribution is considered. Genetic algorithm is used to solve the optimization problem. At last, the simulation experiments based on MATLAB are presented and the experiment results indicate that optimal distribution is effective in reducing measurement error of shipborne multiple laser ranger finder intersection location method.