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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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)
Chiu, S.: Fuzzy Model Identification Based on Cluster Estimation. Journal of Intelligent & Fuzzy Systems 2(3) (September 1994)
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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© 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)