【作者】 刘航； 窦丽华；

【Author】 Liu Hang, Dou Lihua School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081

【机构】 北京理工大学信息科学技术学院；

【摘要】 数据关联是多目标被动定位的难点。为了解决多个目标和两个传感器连线共面情况下的正确关联率低问题,提出一种基于冗余信息的数据关联方法。该方法首先采用两个传感器得到关联对,当判断出多个目标和两个传感器连线共面时,则利用第三个传感器的冗余信息检验每个关联对的关联正确率,从而判断出正确的和错误的关联对。该方法是一种有选择性的利用第三个传感器冗余信息的智能数据关联方法,仿真结果表明,此方法有效地提高了数据关联的正确率。更多还原

【Abstract】 The data association is a difficult point in the multi-target passive location. In order to improve the percent of correct association in the condition of multi-sensor and two sensors were in one plane, the method of data association based on the redundant information was proposed in this paper. Two sensors were adopted to get the pairs of association , if there were multi-target and two sensors in one plane, the third sensor was used to test the percent of correct association of each pair. The correct pairs of association and the false pairs of association were estimated. The method which was put forwarded was an intelligent dada association, which could use the redundant information of the third sensor selectively, and the simulation results showed that the method had higher percent of correct association.更多还原