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基于地面传感器的数据融合技术应用研究
引用本文:赵华敏,段同乐.基于地面传感器的数据融合技术应用研究[J].无线电工程,2007,37(9):59-61.
作者姓名:赵华敏  段同乐
作者单位:中国电子科技集团公司第五十四研究所,河北,石家庄,050081
摘    要:研究了多传感器优化布设,提出了几种典型拓扑结构。比较了Bayes方法和Dempster-Shafer证据理论,采用证据理论对目标进行身份识别。研究了地面运动目标融合算法、模型,能够对各种传感器的报警数据进行处理,得到目标的属性信息和运动轨迹。进行了低空飞行目标航迹融合研究,对传感器上报的低空目标方位角数据进行综合处理,得到目标航迹信息。实际运行结果表明,这些算法是有效的。

关 键 词:多源  信息融合  优化布设  目标识别  跟踪
文章编号:1003-3106(2007)09-0059-03
修稿时间:2007-03-17

Study on Application of Data Fusion Technique Based on Ground Sensors
ZHAO Hua-min,DUAN Tong-le.Study on Application of Data Fusion Technique Based on Ground Sensors[J].Radio Engineering of China,2007,37(9):59-61.
Authors:ZHAO Hua-min  DUAN Tong-le
Affiliation:The 54th Research Institute of CETC, Shijiazhuang Hebei 050081, China
Abstract:Multi-sensor optimal layout is studied and several typical topological structures are presented.Bayes method and Dempster-Shafer evidence theory are compared.Evidence theory is used for target identification.Ground moving target fusion algorithm and model are studied to process alarm data from different sensors and get target attribute information and trajectory.Low altitude target track fusion algorithm is studied to process the azimuth data from sensors and obtain target track.Practical application results show that these algorithms are effective.
Keywords:multi-source  information fusion  optimal layout  target identification  tracking
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