Polarimetric Characterization of Sub-6-GHz Self-Interference Indoor Radio Channels
Autor: | Fabian Undi, Ramez Askar, Michael Peter, Rodrigo Silva Rezende, Wilhelm Keusgen |
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Rok vydání: | 2019 |
Předmět: |
Backscatter
Computer science Frequency band Acoustics 05 social sciences Bandwidth (signal processing) Polarimetry 050801 communication & media studies Self interference Radiation pattern 0508 media and communications 0502 economics and business 050211 marketing Computer Science::Information Theory Communication channel |
Zdroj: | ICC Workshops |
Popis: | To obtain a better understanding of full-duplex wireless systems, this paper studies the behavior of the self-interference radio channels. It presents a physical model of the self-interference radio channel that splits the channel into two segments — a quasi-static direct-coupling-based and a dynamic backscatter-caused. Self-interference channel measurements were performed in a modern-office indoor environment. Additionally, the antenna direct-coupling component is measured in a semi-anechoic chamber. The captured measurement data are used to characterize three orthogonally-coexisting polarimetric self-interference channel components — two co-polarized and one cross-polarized. One gigahertz of sounding bandwidth, which occupies 2-to-3-GHz frequency band, is used to measure the self-interference channels. A dually-polarized-magnetoelectric-dipole antenna is utilized to observe the self-interference backscatter channels; the antenna possesses a hemispherical radiation pattern and an excellent cross-polarization discrimination property. Both incident and reflected RF wave quantities — captured by means of a vector network analyzer on the two ports of the antenna — have been used to acquire a channel knowledge of all three polarimetric components. Instantaneous and averaged power-delay profiles of the measured polarimetric self-interference channels are presented. Moreover, statistical parameters of indoor de-embedded backscatter channels are extracted. |
Databáze: | OpenAIRE |
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