Satellite to Indoor Channel Characterization with Implementation in a GNSS Software Simulator

I. Bartunkova, M. Paonni, B. Eissfeller

Abstract:	One of the key challenges in the GNSS community is doubtlessly represented by the indoor positioning. Once hard to think about, nowadays it is in progress thanks to more and more sensitive receivers as well as supporting techniques like assisted positioning and new GNSS signals. The search for the best methods to improve the indoor positioning needs an accurate description of the channel through which the signal propagates. This paper introduces a combination of models covering each individual part of the path a signal has to cover when transmitted from a GNSS satellite and received in a building. Included are statistical outdoor channel model, geometrical transmission model for building penetration and statistical indoor multipath model. The coverage of individual areas on the signal path is depicted in Fig. 1. In the first part of the paper the different models are introduced one by one and later the necessary adjustments for seamless concatenation are explained. In the second part the deployment of the full chain in a GNSS software signal generator is presented. The output of the model chain, a complex multi-ray signal, requires a specific signal generation procedure. An effective algorithm for the generation of the multi-ray signal is proposed. Performance of the algorithm is demonstrated by a signal simulation scenario and results are discussed.
Published in:	Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010) September 21 - 24, 2010 Oregon Convention Center, Portland, Oregon Portland, OR
Pages:	415 - 424
Cite this article:	Bartunkova, I., Paonni, M., Eissfeller, B., "Satellite to Indoor Channel Characterization with Implementation in a GNSS Software Simulator," Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010), Portland, OR, September 2010, pp. 415-424.
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