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Assessment of a new indoor propagation prediction method based on a multi-resolution algorithm

Katia Jaffrès-Runser 1 Jean-Marie Gorce 1, *
* Corresponding author
1 ARES - Architectures of networks of services
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : The multi-resolution Fourier domain parflow (MR-FDPF) is a new indoor propagation prediction model based on a finite difference computation of the electrical field. The predictions made in two dimensions are fast: simulation lasts 6s for an 80×30 meters building floor at the resolution of 10 centimeters. At a coarser resolution, processing time can be reduced up to 0.6s. Prediction performance of our method is presented in this paper. A least-square calibration process based on signal power measurements is used to determine the propagation indices and attenuation factors of the constitutive materials of the building. The coverage predictions made with the calibrated MR-FDPF are challenged to real measurements and a mean squared error about 5dB is obtained.
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https://hal.inria.fr/inria-00405194
Contributor : Jean-Marie Gorce <>
Submitted on : Sunday, July 19, 2009 - 10:20:30 PM
Last modification on : Wednesday, October 14, 2020 - 12:18:02 PM

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Katia Jaffrès-Runser, Jean-Marie Gorce. Assessment of a new indoor propagation prediction method based on a multi-resolution algorithm. IEEE 61st Vehicular Technology Conference (VTC), IEEE, Jun 2005, Stockohlm, Sweden. ⟨10.1109/VETECS.2005.1543244⟩. ⟨inria-00405194⟩

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