基于动态证据推理的异常航路目标检测  

The detection of abnormal airline targets based on evidence theory

作　　者：李立[1] 王文旭[1] 梁彦[1] 

机构地区：[1]西北工业大学,陕西西安710072

出　　处：《电子设计工程》2015年第9期30-33,共4页Electronic Design Engineering

摘　　要：针对概率框架下的航迹航路相关不能有效处理低信噪比跟踪系统中存在的高冲突以及不确定性的问题,考虑到证据推理在度量、处理不确定和高冲突信息的独特优势,提出了在证据推理框架下的航路目标分类算法。为了实现对空中伪装航路目标的识别,提出了一种基于动态证据推理的航迹航路相关算法,并完成相关的仿真验证。针对低信噪比下的雷达跟踪系统进行仿真验证,结果表明,该算法实现了对航迹目标的属性识别,并有效地完成了对异常航路的目标的检测和识别。Because of the uncertain and high conflict information caused by the low SNR in a tracking system, the previous air target to airline association algorithm in probabilistic framework can＇t deal with these issues effectively. Considering the special advantage of evidence reasoning in the measurement and combination of uncertain and high conflict information, a classification algorithm in the evidence reasoning framework is proposed. For identifying the abnormal airline targets, a novel air target to airline association algorithm based on dynamic evidence theory is proposed. For radar tracking system with low SNR, this algorithm is adopted to achieve the track classification and the detection of abnormal airline targets. The results show that the algorithm under the framework of dynamic evidence reasoning can deal with the track classification and the detection of abnormal targets effectively.

关 键 词：证据推理 目标识别 航迹航路相关 异常检测 

分 类 号：TN958[电子电信—信号与信息处理]