异类传感器数据融合的最近邻-点拓扑关联法
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摘要
针对雷达和红外传感器构成的异类传感器信息融合系统中的目标关联问题,该文提出了一种基于最近邻-点拓扑图的目标关联算法。该算法避免了系统误差补偿环节,有效地克服了最近邻方法对系统偏差敏感和拓扑图方法运算量大的不足,显著提高了存在系统误差条件下的关联成功率,且具有很强的稳健性。
In view of the radar and infrared sensor composed of target correlation problem of heterogeneous sensor information fusion system,this paper proposes a topology of target association algorithm based on nearest neighbor-point. The algorithm avoids the system error compensation link,effectively overcomes the nearest neighbor method is sensitive to system error and computational complexity of the topology method,improves the existing system error conditions associated with the success rate,and has strong robustness.
In view of the radar and infrared sensor composed of target correlation problem of heterogeneous sensor information fusion system,this paper proposes a topology of target association algorithm based on nearest neighbor-point. The algorithm avoids the system error compensation link,effectively overcomes the nearest neighbor method is sensitive to system error and computational complexity of the topology method,improves the existing system error conditions associated with the success rate,and has strong robustness.
引文
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[15]田威.复杂环境下多传感器航迹关联与抗差处理[D].北京:清华大学,2014.TIAN Wei. Multisensor track-to-track association and bias removal in complex environments[D]. Beijing:Tsinghua University,2014.
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[17]袁定波,孟藏珍,许稼,等.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,2012,1(4):393-398.YUAN Dingbo,MENG Zangzhen,XU Jia,et al. Target Association of Heterogeneous Sensors Based on Nearest-neighbor and Topology[J]. Journal of Radars,2012,1(4):393-398.
[2]王立琦,侯彦鹏.一种新的异类传感器信息融合算法[J].计算机工程与应用,2016,52(6):107-110.WANG Liqi,HOU Yanpeng. New algorithm of heterogeneous sensors information fusion[J]. Computer Engineering and Applications,2016,52(6):107-110.
[3]尹继豪,崔炳喆.雷达/红外数据融合的机动目标跟踪算法综述[J].航空兵器,2009(5):39-43.YIN Jihao,CUI Bingzhe. Radar/IR Data Fusion Algorithm for Maneuvering Target Tracking[J]. AERO WEAPONRY,2009(5):39-43.
[4]董云龙,何友,王国宏,等.一种改进的系统偏差估计算法[J].宇航学报,2005,26(6):737-742.DONG Yunlong,HE You,WANG Guohong et al. One Modified Algorithms to Estimate System Errors[J]. Journal Of Astronautics,2005,26(6):737-742.
[5]吴泽民,任姝婕.雷达时差和系统误差的联合估计方法[J].兵工学报,2011,32(7):847-852.WU Zemin,REN Shujie. Joint Estimation for Time Offset and Radar System Error[J]. Acta Armamentarii,2011,32(7):847-852.
[6]李军辉.基于递推最小二乘的系统误差配准算法[J].科技信息,2012(21):103-104.LI Junhui. System error registration algorithm based on recursive least squares[J]. Science&Technology Information,2012(21):103-104.
[7]宋强,何友,熊伟.基于极大似然的单传感器误差配准算法[J].宇航学报,2011,32(8):1826-1832.SONG Qiang,HE You,XIONG Wei. A Maximum Likelihood-Based Single Sensor Bias Registration Algorithm[J]. Journal of Astronautics,2011,32(8):1826-1832.
[8]朱洪伟,周灿铠,唐小明,等.二维多传感器误差配准算法分析[J].空军预警学院学报,2013(1):36-38.ZHU Hong-wei,ZHOU Cankai,TANG Xiaoming,et al.Analysis of Registration Algorithm for Two-dimensional Multi-sensor Error[J]. Journal of Air Force Radar Academy,2013(1):36-38.
[9]朱洪伟,何友.两坐标雷达组网中目标高度与系统误差联合估计[J].系统工程与电子技术,2013,35(9):1861-1866.ZHU Hongwei,HE You. Joint estimation of target height and systematic error for two-dimensional radar network[J]. Systems Engineering and Electronics,2013,35(9):1861-1866.
[10]丰昌政,薛强.雷达组网的精确极大似然误差配准算法[J].兵工自动化,2012,31(2):5-8.FENGChangzheng,XUEQiang.AnExactMaximumLikelihood Error Registration Algorithm for Radar Network[J]. Ordnance Industry Automation,2012,31(2):5-8.
[11]谷稳.基于进化匈牙利算法的目标分配问题研究及应用[D].西安:西安电子科技大学,2013.GU Wen. A Study and Application of Target Allocation based on Evolution Hungarg Algorithm[D]. Xi'an:Xidian University,2013.
[12]吴俊成,周锐,冉华明,等.遗传算法和拍卖算法在任务分配中的性能比较[J].电光与控制,2016(2):11-15.WU Juncheng,ZHOU Rui,RAN Huaming,et al. Performance Comparison of Genetic Algorithm with Auction Algorithm in Task Allocation[J]. Electronics Optics&Control,2016(2):11-15.
[13]张彦芳,闫德恒,王冀扬,等.一种基于蚁群算法的准动态防空武器分配算法[J].火力与指挥控制,2016,41(9):112-117.ZHANG Yanfang,YAN Deheng,WANG Jiyang,et al. A Quasi-dynamic Defense Weapon Assignment Algorithm Based on Ant-colony Optimization[J]. Fire Control&Command Control,2016,41(9):112-117.
[14]史盟钊.多传感器数据关联与状态跟踪算法研究[D].合肥:中国科学技术大学,2014.SHI Mengzhao. Research on Data Association and State Tracking in Multi-Target and Multi-Sensor System[D].Hefei:University of Science and Technology of China,2014.
[15]田威.复杂环境下多传感器航迹关联与抗差处理[D].北京:清华大学,2014.TIAN Wei. Multisensor track-to-track association and bias removal in complex environments[D]. Beijing:Tsinghua University,2014.
[16]Wang X,Xu G,Wang T,et al. A research on multisensor image registration based on edge matching and point matching[J]. Proceedings of SPIE-The International Society for Optical Engineering,2009:74-95.
[17]袁定波,孟藏珍,许稼,等.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,2012,1(4):393-398.YUAN Dingbo,MENG Zangzhen,XU Jia,et al. Target Association of Heterogeneous Sensors Based on Nearest-neighbor and Topology[J]. Journal of Radars,2012,1(4):393-398.