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基于几何关系的多导弹协同跟踪算法 被引量:9

Multiple missiles cooperative tracking algorithm base on geometric relation
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摘要 多武器平台同时探测、处理机动目标信息,一定程度上可以提高目标的跟踪精度,特别是对于多导弹协同作战而言,协同跟踪目标即可以为作战系统提供全面的协同控制情报,也可以为每枚导弹提供精确的制导信息.论文基于交互多模与几何关系思想,设计了多导弹协同跟踪目标算法.首先,建立了目标运动学模型,给出了多导弹和目标之间的几何关系,并以此为基础,建立了多导弹协同跟踪目标模型;其次,基于交互多模思想,将多导弹获取的目标信息进行交互,通过协同滤波算法计算出目标滤波状态值;最后,对协同滤波算法进行仿真验证.研究表明:相对于信息不共享的情况,多导弹协同跟踪目标能够取得更好的跟踪效果,对多导弹协同作战具有重要的参考意义. Multiple weapon platforms can detect and deal with the target information at the same time, so the guidance precision can be greatly advanced, especially in the multiple missile cooperative engagement, cooperative-tracking will provide more target information for the engagement system, also the single missile can be obtained the accurate guidance information. Based on the idea of information sharing and geometric relation among missiles, the new algorithm of the multiple missiles cooperative tracking target is derived. Firstly~ the model of target kinematic was built, based on the geometric relation between the missiles and the target, the measurement model of the target tracking by multiple missiles was given. Secondly, based on the idea of interacting multiple model algorithm, the target information measured by different missile was fused, so the target state was calculated, also the cooperative filter algorithm step was given. At last, the simulation results shown that, compared to the information non-sharing mode, the multiple missiles cooperative tracking target has a better performance, this will have great meaning in the multiple missiles cooperative engagement.
出处 《系统工程理论与实践》 EI CSSCI CSCD 北大核心 2012年第10期2332-2338,共7页 Systems Engineering-Theory & Practice
基金 航空科学基金(20090196005 20100196002) 博士研究生创新基金(DY11104)
关键词 跟踪 几何 交互多模 协同 track geometric interacting multiple model algorithm cooperative
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  • 1李红昕,王帅,刘钊.卡尔曼跟踪滤波器的一种改进的运动模型[J].信号处理,2004,20(6):559-562. 被引量:5
  • 2[1]Bar-Shalom Y,Tse E.Tracking in a cluttered environment with probabilistic data associa-tion.Automatica[J].1975,11(9).
  • 3[2]X.R.Li,Vesselin P.Jilkov.Overview of multiple-model methods for maneuvering target tracking[J].Proc.of SPIE Vol.5204,2003:200-210.
  • 4[3]H.A.P.Blom,Bar-Shalom Y.The interacting multiple model algorithm for systems with markovian switching coefficients[J].IEEE Trans.Automatic Control,AC-33(8):780-783.
  • 5[4]X.R.Li,Bar-Shalom Y.Multiple-model estimation with variable stmcture[J].IEEE Traps Automatic,1996:478-493.
  • 6[5]Aziz A M,Zummala M,Cristi R.Fuzzy logic data correlation approach in multisensor-multitarget tracking systems[J].Signal Processing,1999,76(2).
  • 7[6]X.R.Li,Youmin Zhang.Multiple model estimation with variable structure Part Ⅴ:likely-model set algorithm[J].IEEE Trans.AES,vol.36:448-466.
  • 8周宏仁,机动目标跟踪,1991年
  • 9Li X R,IEEE Trans Aerospaceand Electronic Systems,1999年,35卷,1期,225页
  • 10Li X R,IEEE Trans Aerospaceand Electronic Systems,1999年,35卷,1期,242页

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