OPTIMAL FUSION DISTRIBUTED FILTER FOR DISCRETE MULTICHANNEL ARMA SIGNALS

S.L. Sun

References

  1. [1] D. Willner, C.B. Chang, & K.P. Dunn, Kalman filter algorithmfor a multisensor system, Proc. IEEE Conf. on Decision andControl, Clearwater, Florida, 1976, 570–574.85
  2. [2] H.R. Hashemipour, S. Roy, & A. J. Laub, Decentralizedstructures for parallel Kalman Filtering, IEEE Trans. onAutomatic Control, 33(1), 1988, 88–93. doi:10.1109/9.364
  3. [3] N.A. Carlson, Federated square root filter for decentralizedparallel processes, IEEE Trans. on Aerospace and ElectronicSystems, 26(3), 1990, 517–525. doi:10.1109/7.106130
  4. [4] S. Roy, H.R. Hashemipour, & A.J. Laub, Square root parallelKalman filtering using reduced-order local filters, IEEE Trans.on Aerospace and Electronic Systems, 27(2), 1991, 276–288. doi:10.1109/7.78303
  5. [5] S. Grime & H.F. Durrant-Whyte, Data fusion in decentralizedsensor networks, Control Engineering Practice, 2(5), 1994,849–863. doi:10.1016/0967-0661(94)90349-2
  6. [6] K.H. Kim, Development of track to track fusion algorithm,Proc. of the American Control Conference, Maryland, 1994,1037–1041. doi:10.1109/ACC.1994.751905
  7. [7] H. Chen, T. Kirubarajan, & Y. Bar-Shalom, Performance limitsof track-to-track fusion vs. centralized estimation: Theory andapplication, IEEE Trans. on Aerospace and Electronic Systems,39(2), 2003, 386–398. doi:10.1109/TAES.2003.1207252
  8. [8] Y. Bar-Shalom, On the track-to-track correlation problem,IEEE Trans. on Automatic Control, 26(2), 1981, 571–572. doi:10.1109/TAC.1981.1102635
  9. [9] S.A. Vorobyov, A. Cichocki, & Y.V. Bodyanskiy, Adaptivenoise cancellation for multi-sensory signals, Fluctuation andNoise Letters, 1(1), 2001, R13–R24. doi:10.1142/S0219477501000032
  10. [10] S.L. Sun, Multi-sensor optimal information fusion Kalman filterfor discrete multichannel ARMA signals, IEEE Int. Symp. onIntelligent Control, Houston, 2003, 377–382.
  11. [11] S.L. Sun & Z.L. Deng, Multi-sensor optimal information fusionKalman filter, Automatica, 40(6), 2004, 1017–1023. doi:10.1016/j.automatica.2004.01.014
  12. [12] B.D.O. Anderson & J.B. Moore, Optimal filtering (EnglewoodCliffs, NJ: Prentice-Hall, 1979).
  13. [13] Z.L. Deng, S.L. Sun, & Y. Shi, A generalization of whitenoise estimation theory based on Kalman filtering, ScienceTechnology and Engineering, 3(6), 2003, 521–524.

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