TWO FUSION PREDICTORS FOR MULTISENSOR DISCRETETIME LINEAR SYSTEM

H.R. Song,∗ M. Jeon,∗ Y.S. Lee,∗ T.-S. Choi,∗ and V. Shin∗

References

  1. [1] D.L. Hall, Mathematical techniques in multisensor data fusion (London: Artech House, 1992).
  2. [2] Y.B.-Shalom & X. Rong Li, Multitarget-multisensor tracking: Principles and techniques (Connecticut, USA: YBS Publishing, 1995).
  3. [3] Y.B.-Shalom (Ed.), Multitarget-multisensor tracking: Advanced applications (Norwood, MA: Artech House, 1990), 194–202.
  4. [4] Y.B.-Shalom & L. Campo, The effect of the common process noise on the two-sensor fused track covariance, IEEE Transactions on Aerospace and Electronic Systems, 22(11), 1986, 803–805.
  5. [5] X.R. Li, Y.M. Zhu, J. Wang, & C.Z. Han, Optimal linear estimation fusion – Part I: Unified fusion rules, IEEE Transactions on Information Theory, 49(9), 2004, 2192–2208.
  6. [6] V.I. Shin, Y. Lee, & T. Choi, Suboptimal Linear Filtering and Generalized Millman’s Formula, Proc. IASTED International, Conf. on Signal and Image Process, Honolulu, Hawaii, USA, 2004, 369–374.
  7. [7] V. Shin, Y. Lee, & T.S. Choi, Generalized Millman’s formula and its applications for estimation problems, Signal Processing, 86(2), 2006, 257–266.
  8. [8] J. Zhou, Y. Zhu, Z. You, & E. Song, An efficient algorithm for optimal linear estimation fusion in distributed multisensor systems, IEEE Transactions on Systems, Man, and Cybernetics, 36(5), 2006, 1000–1009.
  9. [9] S.L. Sun & Z.L. Deng, Multi-sensor information fusion Kalman filter weighted by scalars for systems with colored measurement noises, Journal of Dynamic Systems, Measurement and Control, 127(4), 2005, 663–667.
  10. [10] S.L. Sun, Multi-sensor optimal information fusion Kalman filters with applications, Aerospace Science and Technology, 8(1), 2004, 57–62.
  11. [11] K.C. Chang, R.K. Saha, & Y.B.-shalom, On optimal track to track fusion with information fusion, IEEE Transactions on Aerospace and Electronic Systems, 24(4), 1997, 1271–1275.
  12. [12] K.C. Chang, W. Tian, & R.K. Saha, Performance evaluation of track fusion with information matrix filter, IEEE Transactions on Aerospace and Electronic Systems, 38(2), 2002, 455–466.
  13. [13] J.A. Roecker & C.D. McGillem, Comparison of two sensor tracking methods based on state vector fusion and measurement fusion, IEEE Transactions on Aerospace and Electronic Systems, 24(4), 1998, 447–449.
  14. [14] Y.M. Zhu, Z. You, J. Zhao, K. Zhang, & X.R. Li, The optimality for the distributed Kalman filtering fusion with feedback, Automatica, 37, 2001, 1489–1493.
  15. [15] Y.B.-Shalom, On hierarchical tracking for the real world, IEEE Transactions on Aerospace and Electronic Systems, 42(3), 2006, 846–850.
  16. [16] A.T. Alouani & J.E. Gray, Theory of distributed estimation using multiple asynchronous sensors, IEEE Transactions on Aerospace and Electronic Systems, 41(2), 2005, 717–722.
  17. [17] Y.B.-Shalom, X.R. Li, & T. Kirubarajan, Estimation with applications to tracking and navigation (New York, USA: John Wiley & Sons, 2001).
  18. [18] F.L. Lewis, Optimal estimation with an introduction to stochastic control theory (New York, USA: John Wiley & Sons, 1986).
  19. [19] Y.M. Zhu, Multisensor decision and estimation fusion (Boston, USA: Kluwer, 2002).
  20. [20] Y.M. Zhu & X.R. Li, Best linear unbiased estimation fusion, Proc. International Conf. on Multisource-Multisensor Inf. Fusion, Sunnyvale, USA, 1999, 1054–1061. 344

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