基于遗传粒子群算法的船舶航迹融合研究

研究利用遗传算子对粒子群算法进行优化设计,建立了基于遗传算子的粒子群算法多源数据融合模型。该模型克服了粒子群算法在训练过程中容易陷入局部极值的缺陷,得到了更高的学习精度和更快的收敛速度。利用多传感器检测到的目标船舶航迹点数据进行了融合验证,MATLAB仿真结果表明,基于遗传算子的粒子群算法融合模型融合后的目标船舶航迹点比各传感器单独检测到的目标船舶航迹点数据更加精确,更适用于船舶航迹的跟踪及预测。

Track Fusion Based on Particle Swarm Optimization Algorithm with Genetic Operator

Genetic operator is used to optimize particle swarm optimization algorithm,and to form a multi-source data fusion model based on GA-PSO.The model overcomes the defects of trapping into local optimal point that ordinary particle swarm optimization algorithm easily falls into in the training process,and reaches higher accuracy and faster convergence speed.Finally,the fusion mode of the target ship track point data is validated by multiple sensors.The results show that track accuracy based on GA-PSO fusion mod...