Gaussian Process modeling of UWB multipath components

Anh Nguyen Hong, Michael Rath, Josef Kulmer, Stefan Josef Grebien, Khang Nguyen Van, Klaus Witrisal

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Abstract

In the field of radio channel modleing, the consideration of ultra-wideband (UWB) signals allows for a channel description decomposed into deterministic multipath components (MPCs) and dense / diffuse multipath. In this paper, deterministic MPCs are studied. A Gaussian Process (GP) model is used as a regression tool to analyze and model the MPC amplitude behavior based on channel measurements. In this regard, the dependency of the amplitude on the incident angle of the signal at a reflecting surface is analyzed. The channel model is related to kernel functions used in GP that describe the similarities between different data points. Based on the model parameters, the amplitudes of MPCs are predicted at other positions of the receiver that have not been measured in the experiment. The method can then be used to predict a UWB channel impulse response at an arbitrary position in the environment.
Originalspracheenglisch
Titel2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)
Seiten291-296
Seitenumfang6
DOIs
PublikationsstatusVeröffentlicht - 18 Jul 2018
Veranstaltung2018 IEEE Seventh International Conference on Communications and Electronics - Hue, Vietnam
Dauer: 18 Jul 201820 Jul 2018

Konferenz

Konferenz2018 IEEE Seventh International Conference on Communications and Electronics
KurztitelICCE 2018
LandVietnam
OrtHue
Zeitraum18/07/1820/07/18

Fingerprint

Ultra-wideband (UWB)
Impulse response
Experiments

Dies zitieren

Nguyen Hong, A., Rath, M., Kulmer, J., Grebien, S. J., Nguyen Van, K., & Witrisal, K. (2018). Gaussian Process modeling of UWB multipath components. in 2018 IEEE Seventh International Conference on Communications and Electronics (ICCE) (S. 291-296) https://doi.org/10.1109/CCE.2018.8465704

Gaussian Process modeling of UWB multipath components. / Nguyen Hong, Anh; Rath, Michael; Kulmer, Josef; Grebien, Stefan Josef; Nguyen Van, Khang; Witrisal, Klaus.

2018 IEEE Seventh International Conference on Communications and Electronics (ICCE). 2018. S. 291-296.

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Nguyen Hong, A, Rath, M, Kulmer, J, Grebien, SJ, Nguyen Van, K & Witrisal, K 2018, Gaussian Process modeling of UWB multipath components. in 2018 IEEE Seventh International Conference on Communications and Electronics (ICCE). S. 291-296, Hue, Vietnam, 18/07/18. https://doi.org/10.1109/CCE.2018.8465704
Nguyen Hong A, Rath M, Kulmer J, Grebien SJ, Nguyen Van K, Witrisal K. Gaussian Process modeling of UWB multipath components. in 2018 IEEE Seventh International Conference on Communications and Electronics (ICCE). 2018. S. 291-296 https://doi.org/10.1109/CCE.2018.8465704
Nguyen Hong, Anh ; Rath, Michael ; Kulmer, Josef ; Grebien, Stefan Josef ; Nguyen Van, Khang ; Witrisal, Klaus. / Gaussian Process modeling of UWB multipath components. 2018 IEEE Seventh International Conference on Communications and Electronics (ICCE). 2018. S. 291-296
@inproceedings{73449fbc98cc469cad47ebc116e3e0e3,
title = "Gaussian Process modeling of UWB multipath components",
abstract = "In the field of radio channel modleing, the consideration of ultra-wideband (UWB) signals allows for a channel description decomposed into deterministic multipath components (MPCs) and dense / diffuse multipath. In this paper, deterministic MPCs are studied. A Gaussian Process (GP) model is used as a regression tool to analyze and model the MPC amplitude behavior based on channel measurements. In this regard, the dependency of the amplitude on the incident angle of the signal at a reflecting surface is analyzed. The channel model is related to kernel functions used in GP that describe the similarities between different data points. Based on the model parameters, the amplitudes of MPCs are predicted at other positions of the receiver that have not been measured in the experiment. The method can then be used to predict a UWB channel impulse response at an arbitrary position in the environment.",
author = "{Nguyen Hong}, Anh and Michael Rath and Josef Kulmer and Grebien, {Stefan Josef} and {Nguyen Van}, Khang and Klaus Witrisal",
year = "2018",
month = "7",
day = "18",
doi = "10.1109/CCE.2018.8465704",
language = "English",
isbn = "978-1-5386-3678-7",
pages = "291--296",
booktitle = "2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)",

}

TY - GEN

T1 - Gaussian Process modeling of UWB multipath components

AU - Nguyen Hong, Anh

AU - Rath, Michael

AU - Kulmer, Josef

AU - Grebien, Stefan Josef

AU - Nguyen Van, Khang

AU - Witrisal, Klaus

PY - 2018/7/18

Y1 - 2018/7/18

N2 - In the field of radio channel modleing, the consideration of ultra-wideband (UWB) signals allows for a channel description decomposed into deterministic multipath components (MPCs) and dense / diffuse multipath. In this paper, deterministic MPCs are studied. A Gaussian Process (GP) model is used as a regression tool to analyze and model the MPC amplitude behavior based on channel measurements. In this regard, the dependency of the amplitude on the incident angle of the signal at a reflecting surface is analyzed. The channel model is related to kernel functions used in GP that describe the similarities between different data points. Based on the model parameters, the amplitudes of MPCs are predicted at other positions of the receiver that have not been measured in the experiment. The method can then be used to predict a UWB channel impulse response at an arbitrary position in the environment.

AB - In the field of radio channel modleing, the consideration of ultra-wideband (UWB) signals allows for a channel description decomposed into deterministic multipath components (MPCs) and dense / diffuse multipath. In this paper, deterministic MPCs are studied. A Gaussian Process (GP) model is used as a regression tool to analyze and model the MPC amplitude behavior based on channel measurements. In this regard, the dependency of the amplitude on the incident angle of the signal at a reflecting surface is analyzed. The channel model is related to kernel functions used in GP that describe the similarities between different data points. Based on the model parameters, the amplitudes of MPCs are predicted at other positions of the receiver that have not been measured in the experiment. The method can then be used to predict a UWB channel impulse response at an arbitrary position in the environment.

U2 - 10.1109/CCE.2018.8465704

DO - 10.1109/CCE.2018.8465704

M3 - Conference contribution

SN - 978-1-5386-3678-7

SP - 291

EP - 296

BT - 2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)

ER -