Impact of Rough Surface Scattering on Stochastic Multipath Component Models

Josef Kulmer; Fuxi Wen; Nil Garcia; Henk Wymeersch; Klaus Witrisal

doi:10.1109/PIMRC.2018.8580964

Impact of Rough Surface Scattering on Stochastic Multipath Component Models

Josef Kulmer, Fuxi Wen, Nil Garcia, Henk Wymeersch, Klaus Witrisal

Institute of Signal Processing and Speech Communication (4420)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Multipath-assisted positioning makes use of specular multipath components (MPCs), whose parameters are geometrically related to the positions of the transceiver nodes. Diffuse scattering from rough surfaces affects the observed specular reflections in the angular and delay domains. Based on the effective roughness approach, the angular delay power spectrum can be calculated as a function of location parameters, which - in a next step - could be useful to accurately characterize the position-related information of MPCs. The calculated power spectra follow reported characteristics of stochastic multipath models, i.e. Gaussian shape in the angular domain and an exponential shape in the delay domain. The resulting angular and delay spreads are in an equivalent range to values reported in literature.

Original language	English
Title of host publication	2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018
Publisher	Institute of Electrical and Electronics Engineers
Pages	1410-1416
Number of pages	7
Volume	2018-September
ISBN (Electronic)	9781538660096
DOIs	https://doi.org/10.1109/PIMRC.2018.8580964
Publication status	Published - 18 Dec 2018
Event	29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 - Bologna, Italy Duration: 9 Sept 2018 → 12 Sept 2018

Conference

Conference	29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018
Country/Territory	Italy
City	Bologna
Period	9/09/18 → 12/09/18

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/PIMRC.2018.8580964

Cite this

Kulmer, J., Wen, F., Garcia, N., Wymeersch, H., & Witrisal, K. (2018). Impact of Rough Surface Scattering on Stochastic Multipath Component Models. In 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 (Vol. 2018-September, pp. 1410-1416). Article 8580964 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PIMRC.2018.8580964

Impact of Rough Surface Scattering on Stochastic Multipath Component Models. / Kulmer, Josef; Wen, Fuxi; Garcia, Nil et al.
2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018. Vol. 2018-September Institute of Electrical and Electronics Engineers, 2018. p. 1410-1416 8580964.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Kulmer, J, Wen, F, Garcia, N, Wymeersch, H & Witrisal, K 2018, Impact of Rough Surface Scattering on Stochastic Multipath Component Models. in 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018. vol. 2018-September, 8580964, Institute of Electrical and Electronics Engineers, pp. 1410-1416, 29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018, Bologna, Italy, 9/09/18. https://doi.org/10.1109/PIMRC.2018.8580964

Kulmer J, Wen F, Garcia N, Wymeersch H, Witrisal K. Impact of Rough Surface Scattering on Stochastic Multipath Component Models. In 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018. Vol. 2018-September. Institute of Electrical and Electronics Engineers. 2018. p. 1410-1416. 8580964 doi: 10.1109/PIMRC.2018.8580964

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abstract = "Multipath-assisted positioning makes use of specular multipath components (MPCs), whose parameters are geometrically related to the positions of the transceiver nodes. Diffuse scattering from rough surfaces affects the observed specular reflections in the angular and delay domains. Based on the effective roughness approach, the angular delay power spectrum can be calculated as a function of location parameters, which - in a next step - could be useful to accurately characterize the position-related information of MPCs. The calculated power spectra follow reported characteristics of stochastic multipath models, i.e. Gaussian shape in the angular domain and an exponential shape in the delay domain. The resulting angular and delay spreads are in an equivalent range to values reported in literature.",

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Impact of Rough Surface Scattering on Stochastic Multipath Component Models

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