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A. Schneider

Researcher at Technische Universität Ilmenau

Publications -  8
Citations -  406

A. Schneider is an academic researcher from Technische Universität Ilmenau. The author has contributed to research in topics: Antenna array & Antenna (radio). The author has an hindex of 6, co-authored 7 publications receiving 395 citations.

Papers
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Journal ArticleDOI

Identification of time-variant directional mobile radio channels

TL;DR: For the identification of the time-variant, directional structure of the mobile radio channel impulse response (CIR), a broadband vector channel sounder is described and results from measurements in the 5.2 GHz frequency range in an industrial environment are presented.
Proceedings ArticleDOI

Array measurement of the double-directional mobile radio channel

TL;DR: A novel technique to measure the double-directional mobile radio channel using a double-array multiplexing technique that relies on (Unitary) ESPRIT estimation of positional parameters and subsequent beamforming for complex weight extraction and shows good agreement of the extracted directional information with the physical environment.
Proceedings ArticleDOI

Characterization of the directional mobile radio channel in industrial scenarios, based on wideband propagation measurements

TL;DR: Data from wideband directional channel measurements carried out at 5.2 GHz give insight into the propagation behavior for this type of environment and reveal that the installation of wireless LANs in industrial scenarios imposes important requirements on the system design.
Proceedings ArticleDOI

Reduction of DoA Estimation Errors Caused by Antenna Array Imperfections

TL;DR: In this paper, a promising calibration approach is described for the direction of arrival estimation in wideband radio vector channel sounders, and its performance has been verified by simulations and measurements.
Book ChapterDOI

Identification of time-variant directional mobile radio channels

TL;DR: In this paper, a broadband vector channel sounder is used for the identification of the time-variant, directional structure of the mobile radio channel impulse response, which relies on periodic multifrequency excitation signals, correlation processing and joint delay-azimuth superresolution based on the ESPRIT algorithm.