雷达学报Issue(4)：393-398,6.DOI:10.3724/SP.J.1300.2012.20083
基于最近邻-拓扑图的异类传感器目标关联算法
Target Association of Heterogeneous Sensors Based on Nearest-neighbor and Topology
摘要
Abstract
A new data association algorithm is proposed in this paper for heterogeneous sensors information fusion system, which consists of Radar and high-dynamic-range IR, based on joint usage of the nearest-neighbor (NN) and the topology similarity. The proposed algorithm can avoid the complicated system biases compensation based on topology information. Because the NN method is sensitive to the system bias while the existing topology-based algorithms need a large amount of computation, the proposed algorithm shows a lot of advantages, like high estimation accuracy and robustness as well as the improvement of success association rate. Finally, some numerical experiments are provided to demonstrate the effectiveness of the proposed method. And the estimation accuracy can be as high as 90%.关键词
数据融合/目标关联/拓扑相似性/最近邻算法/拓扑图法Key words
Data fusion/Target association/Topology similarity/Nearest-Neighbor (NN) algorithm/Topology分类
信息技术与安全科学引用本文复制引用
袁定波,孟藏珍,许稼,彭应宁..基于最近邻-拓扑图的异类传感器目标关联算法[J].雷达学报,2012,(4):393-398,6.基金项目
国家自然科学基金(61102168)资助课题 （61102168）
