T
T.C. Tozer
Researcher at University of York
Publications - 106
Citations - 2127
T.C. Tozer is an academic researcher from University of York. The author has contributed to research in topics: Communication channel & Time division multiple access. The author has an hindex of 19, co-authored 106 publications receiving 2049 citations. Previous affiliations of T.C. Tozer include York University & Universities UK.
Papers
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Journal ArticleDOI
High-altitude platforms for wireless communications
T.C. Tozer,David Grace +1 more
TL;DR: This paper outlines the application and features of high-altitude platforms (HAPs), and some specific development programmes, given to the use of HAPs for delivery of future broadband wireless communications.
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Broadband communications from a high-altitude platform: the European HeliNet programme
TL;DR: Some of the studies under the European HeliNet programme-a consortium-led project to develop a pilotless solar-powered aircraft from which broadband communication services could be supported are reviewed, and Millimetre wave antennas and propagation characteristics are discussed in particular.
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Optimizing an array of antennas for cellular coverage from a high altitude platform
TL;DR: A method for predicting cochannel interference based on curve-fit approximations for radiation patterns of elliptic beams which illuminate cell edges with optimum power, and a means of estimating optimum beamwidths for each cell of a regular hexagonal layout is presented.
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Multiplication-free iterative algorithm for LS problem
Yuriy Zakharov,T.C. Tozer +1 more
TL;DR: In this paper, the dichotomous co-ordinate descent algorithm is proposed to solve the linear least-squares problem in real-time, which guarantees convergence to the true solution under realistic assumptions.
Journal ArticleDOI
Frequency estimator with dichotomous search of periodogram peak
Y.V. Zakharov,T.C. Tozer +1 more
TL;DR: In this article, a simple frequency estimator is presented which performs FFT-based coarse and DFTbased dichotomous fine searching of the periodogram peak, which has a frequency error close to that of the maximum likelihood (ML) estimator and a lower complexity than that of known estimators.