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Processed 5G Signals Mathematical Models for Positioning considering a Non-Constant Propagation Channel

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Résumé

The objective of this paper is to determine the ranging performance of the upcoming fifth generation (5G) signal. In order to do so, it is required to define 5G correlator outputs mathematical models. 5G systems will use OFDM (Orthogonal Frequency Division Multiplexing) signals; in the literature, mathematical models of OFDM signals are developed at the different receiver signal processing stages. These models assumed that the propagation channel is constant over an OFDM symbol; nevertheless, an in-depth study of QuaDRiGa, a 5G compliant propagation channel simulator, invalidates this hypothesis. Therefore, in this paper, mathematical models are developed that take into account the channel evolution. The focus is given on correlator outputs and results are applied to the computation of 5G based pseudo range accuracy.
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Dates et versions

hal-02324280 , version 1 (22-10-2019)

Identifiants

  • HAL Id : hal-02324280 , version 1

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Anne-Marie Tobie, Axel Javier Garcia Peña, Paul Thevenon, Marion Aubault. Processed 5G Signals Mathematical Models for Positioning considering a Non-Constant Propagation Channel. VTC 2019-Fall 2019 IEEE 90th Vehicular Technology Conference, Sep 2019, Honolulu, United States. ⟨hal-02324280⟩
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