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Volume 19 Issue 3
May  1997
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Cui Ningzhou, Xie Weixin, Yu Xiongnan. MULTISENSOR DISTRIBUTED EXTENDED KALMAN FILTERING ALGORITHM AND ITS APPLICATION TO RADAR/IR TARGET TRACKING[J]. Journal of Electronics & Information Technology, 1997, 19(3): 289-294.
Citation: Cui Ningzhou, Xie Weixin, Yu Xiongnan. MULTISENSOR DISTRIBUTED EXTENDED KALMAN FILTERING ALGORITHM AND ITS APPLICATION TO RADAR/IR TARGET TRACKING[J]. Journal of Electronics & Information Technology, 1997, 19(3): 289-294.

MULTISENSOR DISTRIBUTED EXTENDED KALMAN FILTERING ALGORITHM AND ITS APPLICATION TO RADAR/IR TARGET TRACKING

  • Received Date: 1995-01-11
  • Rev Recd Date: 1996-04-16
  • Publish Date: 1997-05-19
  • A multisensor distributed extended Kalman filtering algorithm is presented for nonlinear systems, in which the dynamic equations of the systems and the equations of sensor s measurements are linearized in the global estimates and global predictions respectively, and the suboptimal global estimates based on all available information can be reconstructed from the estimates computed by local sensors based solely on their own local information and transmitted to the data fusion center. An analysis of the properties of the algorithm presented here shows that the global estimate has higher precision than the local one and smaller linearization error than the existing method. Finally, an application of the algorithm to radar/IR, tracking of a maneuvering target is illustrated. Simulation results show the effectiveness of the algorithm.
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  • Luo R C, Michael G K. Multisensor integration and fusion in intelligence systems. IEEE Trans. on SMC, 1989, SMC-19(5): 901-931.[2]Liu P T, Bongiovanni P L. Combination of local estimation as applied to the tracking problem. 17th Asilomar Conf. on Circuits, Systems and Computer, California, USA: 1983, IEEE Computer Socit,y Press,378-382.[3]周一宇.分布估计及其在跟踪系统中的应用.系统工程与电子技术,1993,15(6):58-70.[4]Blom H A P, Bar-Shalom Y. The interaction multiple model algorithm for systems with Markovian switching coefficients. IEEE Trans. on AC, 1988, AC-33(8): 780-783.[5]Bar-Shalom Y, Chang K C. Tracking a maneuvering target using input estimation versus the inter-[6]acting multiple model algorithm. IEEE Trans.on AES, 1989, AES-25(2): 296-300.[7]Bar-Shalom Y. Multitarget Multisensor Tracking: Advanced Applications. Norwood MA: Artech House Inc., 1990, 29-35.[8]Houles A, Bar-Shalom Y. Multisensor tracking of a maneuvering target in clutter. IEEE Trans. on AES, 1989, AES-25(2): 176-189.[9]Raghavan V, Pattipati K R, Bar-Shalom Y. Efficient L-D fractionization algorithm for PDA, IMM[10]and IMMPDA filters. IEEE Trans. on AES, 1993, AES-29(4): 1297-1309.[11][意] A.费利那著,匡永胜等译.雷达数据处理(第一卷).北京:国防工业出版社,1988,101-103.[12]崔宁周.多传感器数据融合一信号检测与目标跟踪:[博士论文].西安:西安电子科技大学,1995年5月.[13]Anderson B O O, Moore J B. Optimal Filtering. Englewood Cliffs, NJ: Prentice Hall, 1979,138-142.[14]Bar-Shalom Y, Fortmann T E. Tracking and Data Association. New York: Academic Press Inc., 1988,157-190.
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