๐Ÿ“–
Processed 5G Signals Mathematical Models for Positioning considering a Non-Constant Propagation Channel
Anne-Marie Tobie, Axel Garcia-Pena, Paul Thevenon, Marion Aubault

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

Science & Mathematics Published 2019 Verification Pending

Overview & Synopsis

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.

Indexed from repository: HAL Open Science (hal.science)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Processed 5G Signals Mathematical Models for Positioning considering a Non-Constant Propagation Channel
Author / Organization Anne-Marie Tobie, Axel Garcia-Pena, Paul Thevenon, Marion Aubault
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2019
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-232362
Original Source Link Visit Source Page on hal.science »