基于航向参照匹配的航迹抗差关联算法
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摘要
探讨了系统误差影响下的多传感器航迹关联问题。由于传感器观测存在虚警和漏报,利用目标拓扑信息进行航迹关联的算法可靠性会降低。提出一种基于航向参照匹配的航迹抗差关联算法,该算法首先建立以传感器观测目标为原点、航向为参照的运动坐标系,对邻居目标数据进行旋转和平移转换;然后对各目标参照系下的邻居目标以目标距离为统计量进行全局最优关联;最后以各目标参照系下确认关联对的平均距离为匹配度量,以使匹配度量最小的参照目标对为关联匹配目标。仿真结果从目标共同观测率、系统误差范围和目标密集程度等方面验证了算法的有效性和健壮性。
The multi-sensor track association under the influence of systematic bias is discussed. The algorithms that utilize target topology information are not reliable for track association due to the false alarm and missing detection in sensor observation. Thus we proposed an anti-bias track association algorithm based on target course reference. Firstly,a moving coordinate system was established taking the position of the observed target as the origin and its course as reference direction,and then rotation /translation transformation was made to the neighboring targets' data. Secondly,the distance of neighboring targets in different target reference coordinate system was used as the statistics for global optimal track association. The average distance of confirmed associated pairs in all target reference coordinate systems was taken as the matching metric,and the corresponding reference target pair reaching the minimum matching measurement was regarded as matched targets. The simulation results prove the effectiveness and robustness of the algorithm from several aspects including the target common observation ratio,systematic bias range and target density.
The multi-sensor track association under the influence of systematic bias is discussed. The algorithms that utilize target topology information are not reliable for track association due to the false alarm and missing detection in sensor observation. Thus we proposed an anti-bias track association algorithm based on target course reference. Firstly,a moving coordinate system was established taking the position of the observed target as the origin and its course as reference direction,and then rotation /translation transformation was made to the neighboring targets' data. Secondly,the distance of neighboring targets in different target reference coordinate system was used as the statistics for global optimal track association. The average distance of confirmed associated pairs in all target reference coordinate systems was taken as the matching metric,and the corresponding reference target pair reaching the minimum matching measurement was regarded as matched targets. The simulation results prove the effectiveness and robustness of the algorithm from several aspects including the target common observation ratio,systematic bias range and target density.
引文
[1]何友,王国宏,陆大纟金,等.多传感器信息融合及应用[M].2版.北京:电子工业出版社,2007.HE Y,WANG G H,LU D J,et al.Multisensor information fusion with applications[M].2nd ed.Beijing:Publishing House of Electronics Industry,2007.
[2]MORI S,CHANG K C,CHONG C Y.Comparison of track fusion rules and track association metrics[C]//The 15th International Conference on Information Fusion,Singapore,2012:1996-2003.
[3]BAHADOR K,KHAMIS A,KARRAY F O,et al.Multisensor data fusion:A review of the state-of-the-art[J].Information Fusion,2013,14:28-44.
[4]郭蕴华,袁成.一种异步航迹关联的变异蚁群算法[J].电子学报,2012,40(11):2200-2205.GUO Y H,YUAN C.A mutation ant colony algorithm for the asynchronous track correlation[J].Acta Electronica Sinica,2012,40(11):2200-2205.
[5]鹿传国,冯新喜,孔云波,等.基于图的分布式平飞航迹关联算法[J].电光与控制,2012,19(10):30-33.LU C G,FENG X X,KONG Y B,et al.Distributed formation-flying track-to-track association based on the graph[J].Electronics Optics&Control,2012,19(10):30-33.
[6]石玥,王钺,王树刚,等.基于目标参照拓扑的模糊航迹关联方法[J].国防科学技术大学学报,2006,28(4):105-109.SHI Y,WANG Y,WANG S G,et al.Fuzzy data association based on target topology of reference[J].Journal of National University of Defense Technology,2006,28(4):105-109.
[7]杨哲,韩崇昭,李晨,等.基于目标之间拓扑信息的数据关联方法[J].系统仿真学报,2008,20(9):2357-2360.YANG Z,HAN C Z,LI C,et al.Data association based on target topology[J].Journal of System Simulation,2008,20(9):2357-2360.
[8]曾昊.基于星载异类传感器的舰船编队目标数据关联方法研究[D].长沙:国防科学技术大学,2008.ZENG H.Data association research about targets among ship formation based on heterogeneous space borne reconnaissance sensors[D].Changsha:National University of Defense Technology,2008.
[9]方亮.系统偏差条件下的航迹相关技术研究[D].长沙:国防科学技术大学,2009.FANG L.Research on track correlation with system bias[D].Changsha:National University of Defense Technology,2009.
[10]宋强,熊伟,马强.基于目标不变信息量的模糊航迹对准关联算法[J].系统工程与电子技术,2011,33(1):190-195.SONG Q,XIONG W,MA Q.Fuzzy track alignment-correlation algorithm based on target invariable information[J].Systems Engineering and Electronics,2011,33(1):190-195.
[11]吴泽民,邱正伦,任姝婕.多传感器航迹相关的区域匹配算法[J].弹箭与制导学报,2011,31(4):210-213.WU Z M,QIU Z L,REN S J.Area matching algorithm for multi-sensor track correlation[J].Journal of Projectiles,Rockets,Missiles and Guidance,2011,31(4):210-213.
[12]LIU X,YIN H,TIAN C,et al.An improved 2-d assignment algorithm for track-to-track association[C]//Control and Decision Conference,Guiyang,2013:3698-3703.
[13]KRAGEL B,HERMAN S,ROSEVEARE N.A comparison of methods for estimating track-to-track assignment probabilities[J].IEEE Transactions on Aerospace and Electronic System,2012,48(3):1870-1888.
[2]MORI S,CHANG K C,CHONG C Y.Comparison of track fusion rules and track association metrics[C]//The 15th International Conference on Information Fusion,Singapore,2012:1996-2003.
[3]BAHADOR K,KHAMIS A,KARRAY F O,et al.Multisensor data fusion:A review of the state-of-the-art[J].Information Fusion,2013,14:28-44.
[4]郭蕴华,袁成.一种异步航迹关联的变异蚁群算法[J].电子学报,2012,40(11):2200-2205.GUO Y H,YUAN C.A mutation ant colony algorithm for the asynchronous track correlation[J].Acta Electronica Sinica,2012,40(11):2200-2205.
[5]鹿传国,冯新喜,孔云波,等.基于图的分布式平飞航迹关联算法[J].电光与控制,2012,19(10):30-33.LU C G,FENG X X,KONG Y B,et al.Distributed formation-flying track-to-track association based on the graph[J].Electronics Optics&Control,2012,19(10):30-33.
[6]石玥,王钺,王树刚,等.基于目标参照拓扑的模糊航迹关联方法[J].国防科学技术大学学报,2006,28(4):105-109.SHI Y,WANG Y,WANG S G,et al.Fuzzy data association based on target topology of reference[J].Journal of National University of Defense Technology,2006,28(4):105-109.
[7]杨哲,韩崇昭,李晨,等.基于目标之间拓扑信息的数据关联方法[J].系统仿真学报,2008,20(9):2357-2360.YANG Z,HAN C Z,LI C,et al.Data association based on target topology[J].Journal of System Simulation,2008,20(9):2357-2360.
[8]曾昊.基于星载异类传感器的舰船编队目标数据关联方法研究[D].长沙:国防科学技术大学,2008.ZENG H.Data association research about targets among ship formation based on heterogeneous space borne reconnaissance sensors[D].Changsha:National University of Defense Technology,2008.
[9]方亮.系统偏差条件下的航迹相关技术研究[D].长沙:国防科学技术大学,2009.FANG L.Research on track correlation with system bias[D].Changsha:National University of Defense Technology,2009.
[10]宋强,熊伟,马强.基于目标不变信息量的模糊航迹对准关联算法[J].系统工程与电子技术,2011,33(1):190-195.SONG Q,XIONG W,MA Q.Fuzzy track alignment-correlation algorithm based on target invariable information[J].Systems Engineering and Electronics,2011,33(1):190-195.
[11]吴泽民,邱正伦,任姝婕.多传感器航迹相关的区域匹配算法[J].弹箭与制导学报,2011,31(4):210-213.WU Z M,QIU Z L,REN S J.Area matching algorithm for multi-sensor track correlation[J].Journal of Projectiles,Rockets,Missiles and Guidance,2011,31(4):210-213.
[12]LIU X,YIN H,TIAN C,et al.An improved 2-d assignment algorithm for track-to-track association[C]//Control and Decision Conference,Guiyang,2013:3698-3703.
[13]KRAGEL B,HERMAN S,ROSEVEARE N.A comparison of methods for estimating track-to-track assignment probabilities[J].IEEE Transactions on Aerospace and Electronic System,2012,48(3):1870-1888.