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Algorithm of track initiation based on multi-sensor data fusion
Author(s): 
Pages: 366-369
Year: Issue:  4
Journal: Journal of Chengdu University Of Information Technology

Keyword:  粒子群算法聚类数据融合卡尔曼滤波;
Abstract: 提出了一种基于聚类分析和Kalman 滤波相结合的多传感器航迹起始算法.根据多传感器同一时刻对同一目标的观测值在空间呈团状的特征,运用聚类的方法解决数据融合问题.采用一种改进的粒子群(PSO)优化算法对多传感器观测数据进行聚类,结合聚类中心和目标预测值,应用Kalman滤波器估计目标状态,从而实现航迹起始.实验结果表明,该方法有效.
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