Gaussian Process modeling of UWB multipath components

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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.
Original languageEnglish
Title of host publication2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)
Pages291-296
Number of pages6
DOIs
Publication statusPublished - 18 Jul 2018
Event2018 IEEE Seventh International Conference on Communications and Electronics - Hue, Viet Nam
Duration: 18 Jul 201820 Jul 2018

Conference

Conference2018 IEEE Seventh International Conference on Communications and Electronics
Abbreviated titleICCE 2018
CountryViet Nam
CityHue
Period18/07/1820/07/18

    Fingerprint

Cite this

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) (pp. 291-296) https://doi.org/10.1109/CCE.2018.8465704