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The Integrated Location Algorithm Based on Fuzzy Identification and Data Fusion with Signal Decomposition

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Book cover Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

In this paper, an efficient integrated location algorithm based on fuzzy identification and data fusion is presented in order to carry put precision and reliability position estimation and improve location accuracy and efficiency. In addition to the selectivity advantage gained by combining different location parameters, the use of integrated location algorithm by data fusion may increase location integrity with which a robust and anti-interference result can be obtained.

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References

  1. Perez, J.A.M., Vega, J.M.M., Verdegay, J.L.: Fuzzy location problems on networks. Fuzzy Sets and Systems 142(3), 393–405 (2004)

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  3. Kleine-Ostmann, T., Bell, A.E.: A data fusion architecture for enhanced position estimation in wireless networks. IEEE Communications Letters 5(8) (2001)

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Author information

Authors and Affiliations

  1. Institute of Electric Information, Northwestern Polytechnical University, Xi’an, Shaanxi, 710072, P. R. China

    Zhao Ping & Haoshan Shi

Authors
  1. Zhao Ping
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  2. Haoshan Shi
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Ping, Z., Shi, H. (2005). The Integrated Location Algorithm Based on Fuzzy Identification and Data Fusion with Signal Decomposition. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_49

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  • DOI: https://doi.org/10.1007/11539506_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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