多雷达多目标航迹跟踪法  

Method of Multi-radar and Multi-target Path Tracking

作　　者：彭鹏菲[1] 杨露菁[1] 陈志刚[1] 

机构地区：[1]海军工程大学电子工程学院,武汉430033

出　　处：《船舶工程》2005年第3期43-46,共4页Ship Engineering

摘　　要：提出了一种改进的模糊极小极大(FuzzyMin-Max,FMM)神经网络算法,并结合无师训练FMM神经网络的聚类,给出了一种基于FMM神经网络的多雷达多目标航迹跟踪方法.仿真实验结果表明,这种方法能够有效地完成多雷达多目标的数据融合,并较好地实现了多雷达多目标的航迹相关.A method of multi-radar and multi-target path tracking based on fuzzy min-max neural network is proposed, which combines an improved fuzzy min-max artificial neural network algorithm proposed in the article and the unsupervised general fuzzy min-max artificial neural network clustering. The results of simulation experiment indicate that this method can effectively accomplish the data fusion of multi-radar and multi-target, and perform the path correlating of multi-radar and multi-target well.

关 键 词：人工智能 多雷达多目标航迹跟踪 FMM神经网络 聚类 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]