异地配置的雷达与电子支援措施航迹关联
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摘要
针对雷达与电子支援措施(Electronic Support Measures,ESM)异地配置的情况,提出了一种基于ESM虚定位点的异类传感器航迹关联算法。ESM属于无源传感器,只能获取角度信息而缺少距离信息。该算法首先基于雷达量测定义了ESM虚定位点,为ESM提供了目标的距离信息。然后利用ESM虚定位点与交叉定位点构造距离统计量,基于统计理论方法对雷达与ESM航迹是否关联进行判决。在不同的测量误差和目标数目环境下进行了仿真实验,结果表明,该算法能较好地实现雷达与ESM的航迹关联。
To improve the track association of radar and electronic support measures(ESM)at different sites,a track association algorithm of heterogeneous sensors based on ESM pseudo location point is proposed in this paper.ESM is a passive sensor,which can provide angle measurements but short of range measurements.To compensate the range information for ESM sensor,ESM pseudo location point is defined by utilizing radar measurements.Constructing range statistics by combining ESM pseudo location point with cross location point,a new radar and ESM association algorithm based on statistical theory is proposed.Simulation is made with different errors and target number,and results show that the track association of radar and ESM can be finished effectively by using the proposed method.
To improve the track association of radar and electronic support measures(ESM)at different sites,a track association algorithm of heterogeneous sensors based on ESM pseudo location point is proposed in this paper.ESM is a passive sensor,which can provide angle measurements but short of range measurements.To compensate the range information for ESM sensor,ESM pseudo location point is defined by utilizing radar measurements.Constructing range statistics by combining ESM pseudo location point with cross location point,a new radar and ESM association algorithm based on statistical theory is proposed.Simulation is made with different errors and target number,and results show that the track association of radar and ESM can be finished effectively by using the proposed method.
引文
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[11]龙海鹰,任清安.空管异类传感器数据融合算法研究[J].雷达科学与技术,2010,8(6):526-531.
[12]GUAN X,HE Y,YI X.Gray Track-to-Track Correlation Algorithm for Distributed Multitarget Tracking System[J].Signal Processing,2006,86(11):3448-3455.
[13]李彬彬,冯新喜,王朝英,等.异类传感器三维空间数据关联算法研究[J].宇航学报,2011,32(7):1632-1638.
[14]王妍妍.基于GAM模型雷达与ESM数据关联实现方法[J].指挥信息系统与技术,2012,3(3):40-43.
[15]王国宏,邵锡军,潘哲.主被动传感器异地配置下的数据关联[J].现代雷达,2003,25(4):26-29.
[16]宋振宇,张翔宇,张光轶.系统误差对异地配置的雷达和ESM航迹关联的影响[J].电光与控制,2014,21(3):42-46.
[2]何友,王国宏,关欣,等.信息融合理论及应用[M].北京:电子工业出版社,2010.
[3]杨万海.多传感器数据融合及其应用[M].西安:西安电子科技大学出版社,2004.
[4]王国宏.利用角度、角度变化率和ITG信息的主被动传感器数据关联[J].雷达科学与技术,2003,1(1):39-45.
[5]WANG G H,MAO S Y,HE Y.Analytical Performance Evaluation of Association of Active and Passive Tracks for Airborne Sensors[J].Signal Processing,2003,83(5):973-981.
[6]WANG G H,MAO S Y,HE Y,et al.TripleThreshold Radar-to-ESM Correlation Algorithm When Each Radar Track is Specified by Different Number of Measurements[J].IEE Proceedings:Radar,Sonar and Navigation,2000,147(4):177-181.
[7]刘德浩,王国宏,陈中华.基于EM-EKF的异类传感器系统误差配准算法[J].雷达科学与技术,2011,9(5):453-456.LIU Dehao,WANG Guohong,CHEN Zhonghua.A Registration Algorithm of Different Sensors Based on EM-EKF[J].Radar Science and Technology,2011,9(5):453-456.(in Chinese)
[8]黄友澎,曹万华,张志云,等.基于灰色关联分析的异类传感器航迹相关算法[J].华中科技大学学报(自然科学版),2011,39(10):83-86.
[9]WANG G H,ZHANG X Y,TAN S C.Effect of Biased Estimation on Radar-to-ESM Track Association[J].Journal of Systems Engineering and Electronic,2012,23(2):188-194.
[10]ZHOU Y F,MICKEAL J.A Sequential ESM Track Association Algorithm Based on the Use of Information Theoretic Criteria[C]∥10th International Conference on Information Fusion,Quebec:IEEE,2007:1-7.
[11]龙海鹰,任清安.空管异类传感器数据融合算法研究[J].雷达科学与技术,2010,8(6):526-531.
[12]GUAN X,HE Y,YI X.Gray Track-to-Track Correlation Algorithm for Distributed Multitarget Tracking System[J].Signal Processing,2006,86(11):3448-3455.
[13]李彬彬,冯新喜,王朝英,等.异类传感器三维空间数据关联算法研究[J].宇航学报,2011,32(7):1632-1638.
[14]王妍妍.基于GAM模型雷达与ESM数据关联实现方法[J].指挥信息系统与技术,2012,3(3):40-43.
[15]王国宏,邵锡军,潘哲.主被动传感器异地配置下的数据关联[J].现代雷达,2003,25(4):26-29.
[16]宋振宇,张翔宇,张光轶.系统误差对异地配置的雷达和ESM航迹关联的影响[J].电光与控制,2014,21(3):42-46.