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Mathematical Problems in Engineering
Volume 2014, Article ID 571572, 8 pages
http://dx.doi.org/10.1155/2014/571572
Research Article

Performance Analysis for Distributed Fusion with Different Dimensional Data

1Ministry of Education Key Laboratory for Intelligent Networks and Network Security (MOE KLINNS), School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China
2Center for Information Engineering Science Research (CIESR), School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China

Received 24 June 2014; Accepted 28 August 2014; Published 30 September 2014

Academic Editor: Ming Gao

Copyright © 2014 Xianghui Yuan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. X. R. Li, Y. Zhu, J. Wang, and C. Han, “Optimal linear estimation fusion: part .I. Unified fusion rules,” IEEE Transactions on Information Theory, vol. 49, no. 9, pp. 2192–2323, 2003. View at Publisher · View at Google Scholar · View at Scopus
  2. Y. Bar-Shalom, “Negative correlation and optimal tracking with doppler measurements,” IEEE Transactions on Aerospace and Electronic Systems, vol. 37, no. 3, pp. 1117–1120, 2001. View at Publisher · View at Google Scholar · View at Scopus
  3. X. H. Yuan, C. Z. Han, and Z. S. Duan, “Performance analysis and correlation selection with Doppler measurements,” in Proceedings of the 12th International Conference on Information Fusion, pp. 373–379, Seattle, Wash, USA, July 2009. View at Scopus
  4. Y. Bar-Shalom and L. Campo, “The effect of the common process noise on the two-sensor fused-track covariance,” IEEE Transactions on Aerospace and Electronic Systems, vol. 22, no. 6, pp. 803–805, 1986. View at Google Scholar · View at Scopus
  5. X. H. Yuan, C. Z. Han, and F. Lian, “Fusion performance analysis with the correlation,” in Proceedings of the 13th Conference on Information Fusion, Edinburgh, UK, July 2010. View at Scopus
  6. X. R. Li and P. Zhang, “Optimal linear estimation fusion—part III: cross-correlation of local estimation errors,” in Proceedings of the 4th International Conference of Information Fusion, pp. WeB1.11–WeB1.18, Montreal, Canada, 2001.
  7. S. J. Julier and J. K. Uhlmann, “Non-divergent estimation algorithm in the presence of unknown correlations,” in Proceedings of the American Control Conference, pp. 2369–2373, June 1997. View at Scopus
  8. Y. C. Eldar, A. Beck, and M. Teboulle, “A minmax Chebyshev estimator for bounded error estimation,” IEEE Transactions on Signal Processing, vol. 56, no. 4, pp. 1388–1397, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  9. Y. Wang and X. R. Li, “Distributed estimation fusion with unavailable cross-correlation,” IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 1, pp. 259–278, 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. Y. Bar-shalom, X. R. Li, and T. Kirubarajan, Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software, Wiley, New York, NY, USA, 2001.
  11. X. R. Li, K. Zhang, J. Zhao, and Y. Zhu, “Optimal linear estimation fusion, part V: relationships,” in Proceeding of the 5th International Conference on Information Fusion (FUSION '02), vol. 1, pp. 497–504, Annapolis, Md, USA, July 2002. View at Publisher · View at Google Scholar · View at Scopus
  12. R. A. Horn and C. R. Johnson, Matrix Analysis, chapter 7, Cambridge University Press, 1985. View at Publisher · View at Google Scholar · View at MathSciNet