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A collaborative location model for cellular mobile position location

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Journal of Electronics

Abstract

In cellular network, several Time Difference Of Arrival (TDOA) location algorithms can be applied to mobile position estimation. However, each algorithm has its own limitations and none of them is proved to be the most reliable one in different channel environments. In this paper Kleine-Ostmann’s data fusion model is modified and a collaborative location model which incorporates position estimate of two TDOA location algorithms is proposed. Analysis and simulation show that more reliable and accurate mobile position estimation can be achieved based on this model.

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Author information

Authors and Affiliations

  1. National Key Lab, IETTC, 610041, Chengdu

    Deng Ping

  2. Institute of Mobile Communications, Southwest Jiaotong University, 610031, Chengdu

    Deng Ping, Liu Lin & Fan Pingzhi

Authors
  1. Deng Ping
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  2. Liu Lin
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  3. Fan Pingzhi
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Additional information

Supported by the National Natural Science Foundation of China(NNSF/RGC)(No.60218001) and the National Key Lab, IETTC

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Cite this article

Deng, P., Liu, L. & Fan, P. A collaborative location model for cellular mobile position location. J. of Electron.(China) 21, 449–453 (2004). https://doi.org/10.1007/s11767-004-0014-5

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  • DOI: https://doi.org/10.1007/s11767-004-0014-5

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