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Gaussian Process Modeling of Specular Multipath Components

School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi 112400, Vietnam
Signal Processing and Speech Communication Lab, Graz University of Technology, 8010 Graz, Austria
Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(15), 5216;
Received: 30 May 2020 / Revised: 17 July 2020 / Accepted: 24 July 2020 / Published: 29 July 2020
(This article belongs to the Special Issue Indoor Localization Systems: Latest Advances and Prospects)
The consideration of ultra-wideband (UWB) and mm-wave signals allows for a channel description decomposed into specular multipath components (SMCs) and dense/diffuse multipath. In this paper, the amplitude and phase of SMCs are studied. Gaussian Process regression (GPR) is used as a tool to analyze and predict the SMC amplitudes and phases based on a measured training data set. In this regard, the dependency of the amplitude (and phase) on the angle-of-arrival/angle-of-departure of a multipath component is analyzed, which accounts for the incident angle and incident position of the signal at a reflecting surface—and thus for the reflection characteristics of the building material—and for the antenna gain patterns. The GPR model describes the similarities between different data points. Based on its model parameters and the training data, the amplitudes of SMCs are predicted at receiver positions that have not been measured in the experiment. The method can be used to predict a UWB channel impulse response at an arbitrary position in the environment. View Full-Text
Keywords: gaussian process regression; multipath radio channels; geometric-stochastic channel model gaussian process regression; multipath radio channels; geometric-stochastic channel model
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MDPI and ACS Style

Nguyen, A.H.; Rath, M.; Leitinger, E.; Nguyen, K.V.; Witrisal, K. Gaussian Process Modeling of Specular Multipath Components. Appl. Sci. 2020, 10, 5216.

AMA Style

Nguyen AH, Rath M, Leitinger E, Nguyen KV, Witrisal K. Gaussian Process Modeling of Specular Multipath Components. Applied Sciences. 2020; 10(15):5216.

Chicago/Turabian Style

Nguyen, Anh H., Michael Rath, Erik Leitinger, Khang V. Nguyen, and Klaus Witrisal. 2020. "Gaussian Process Modeling of Specular Multipath Components" Applied Sciences 10, no. 15: 5216.

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