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异类传感器三维空间数据关联算法研究 被引量:6

Data Association Algorithm for Three-Dimensional Heterogeneous Sensors
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摘要 在异类传感器信息融合系统中,快速准确地对目标进行数据关联极为重要。为解决2D雷达与红外传感器在三维空间中的数据关联问题提出了一种新方法。该方法采用两级关联算法进行关联,首先利用精度较高的2D雷达径向距离和红外传感器俯仰角及方位角找出目标在X-Y平面上的可能位置,通过构造角度检验统计量完成第一级关联,排除大部分虚假定位点;再采用二维分配算法对余下的候选关联组合进行精确关联,从而获得最优关联分配方案。仿真结果表明该方法较大地提高了正确关联概率,是一种有效实用的数据关联方法。 Fast and precise data association method plays an important role in the heterogeneous sensor information fusion system.In order to solve the typical problem of data association encountered in three-dimensional heterogeneous sensor system with 2D radar and IRST,a new method with two steps is presented.Firstly,the accurate azimuth and elevation of IRST and radial distance of 2D radar are used to obtain possible position in two-dimensional coordinate,and angle statistics is constructed to eliminate most false points.Finally,two-dimension assignment algorithm is used to achieve the optimum assignment solution.Simulation results show that the proposed method is an effective data association method,and accurate association probability is improved obviously.
出处 《宇航学报》 EI CAS CSCD 北大核心 2011年第7期1632-1638,共7页 Journal of Astronautics
关键词 信息融合 数据关联 两级关联 异类传感器 Information fusion Data association Two stage association Heterogeneous sensor
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  • 1衣晓,何友,关欣.多目标跟踪的动态多维分配算法[J].电子学报,2005,33(6):1120-1123. 被引量:12
  • 2王鼎,张莉,吴瑛.基于角度信息的约束总体最小二乘无源定位算法[J].中国科学(E辑),2006,36(8):880-890. 被引量:25
  • 3韩崇昭,朱洪艳,段战胜,等.多源信息融合[M].2版.北京:清华大学出版社,2010. 被引量:30
  • 4Ulrich K, Simon H, Klaus D. Dynamical Information Fusion of Heterogeneous Sensors for 3D Tracking Using Particle Swarm Optimization [ J ]. Information Fusion,2011,12 (4) : 275-283. 被引量:1
  • 5Alex J Barnett, Gavin Pearson, Robert I Young. Optimising the Deployment of Airborne Heterogeneous Sensors for Persistent ISR Missions[ J]. Proc. of SPIE,2010,7694:0401-0410. 被引量:1
  • 6Dunham, Darin T. Tracking Multiple Targets in Cluttered Environments with the Probabilistic Multi-Hypothesis Tracking Filter [ D ]. Naval postgraduate school Monterey, California: 1997,3. 被引量:1
  • 7Dominic S P Leung, Scott Williams D. A Multiple Hypothesis Based Multiple Sensor Spatial Data Fusion Algorithm [ R ]. SPIE Automatic Object Recognition, 1991 ( 1471 ) :314-325. 被引量:1
  • 8Rita Bahes. hnprovement of Sensor Fusion with Misalignment by MHT Tracking[ C]//SPIE Signal and Data Processing of Small Targets ,2003 (5204) :436-445. 被引量:1
  • 9Juan R Vasqueza,Jason L Williams. Improved Hypothesis Selection for Multiple Hypothesis Tracking [ C ]//SPIE Signal and Data Processing of Small Targets ,2004 ( 5428 ) :221-223. 被引量:1
  • 10Jianhui Lu, Chengzhi Yang, Dongfeng Chen, et al. Spatial-Time Multiple Hypothesis Model of Data Fusion based on Active and Passive Sensors[ C ]//International Workshop on Information and Electronics Engineering. 2012:2759-2764. 被引量:1

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