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Magnus Franzen

Researcher at University of Nice Sophia Antipolis

Publications -  22
Citations -  482

Magnus Franzen is an academic researcher from University of Nice Sophia Antipolis. The author has contributed to research in topics: Electromagnetic reverberation chamber & Antenna (radio). The author has an hindex of 9, co-authored 22 publications receiving 438 citations.

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Journal ArticleDOI

Characterization of Reverberation Chambers for OTA Measurements of Wireless Devices: Physical Formulations of Channel Matrix and New Uncertainty Formula

TL;DR: In this paper, the Rician K-factor of a reverberation chamber is defined in terms of the free space S-parameters of the antennas, and the channel matrix in the way known from propagation literature.
Proceedings ArticleDOI

Investigation of Heavily Loaded Reverberation Chamber for Testing of Wideband Wireless Units

TL;DR: In this article, the effect of loading on the statistics of the reverberation chamber and its bandwidth is investigated, and the authors show that an increased bandwidth makes more modes excited at a particular frequency.
Journal ArticleDOI

A New Compact Wideband MIMO Antenna—The Double-Sided Tapered Self-Grounded Monopole Array

TL;DR: In this article, a double-sided 4-port arm-tapered self-grounded monopole array, referred to as the butterfly antenna, was proposed for wideband MIMO communications.
Proceedings ArticleDOI

MIMO performance of enhanced UMTS four-antenna structures for mobile phones in the presence of the user’s head

TL;DR: In this paper, the reverberation chambers (RC) evaluation of the multiple-input-multiple-output (MIMO) system performance of several UMTS four-antenna systems with low and high planar inverted-F antennas (PIFAs) isolation is presented.
Journal ArticleDOI

Diversity characterization of optimized two-antenna systems for UMTS handsets

TL;DR: The key diversity parameters of all these systems are discussed, that is, the total efficiency of the antenna, the envelope correlation coefficient, the diversity gains, the mean effective gain (MEG), and the MEG ratio.