%0 Journal Article
%T Fast Antenna Far-Field Characterization via Sparse Spherical Harmonic Expansion
%+ Institut d'Électronique et des Technologies du numéRique (IETR)
%A Fuchs, Benjamin
%A Le Coq, L.
%A Rondineau, S.
%A Migliore, M.D.
%Z European Union through the European Regional Development Fund
%Z French region of Brittany through the CPER Project 8 SOPHIE/STIC & Ondes
%< avec comité de lecture
%@ 0018-926X
%J IEEE Transactions on Antennas and Propagation
%I Institute of Electrical and Electronics Engineers
%V 65
%N 10
%P 5503-5510
%8 2017
%D 2017
%R 10.1109/TAP.2017.2738059
%K spherical harmonics
%K Antenna measurements
%K antenna pattern
%K compact antenna test range
%K compressive sensing
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]
%Z Engineering Sciences [physics]/ElectronicsJournal articles
%X A procedure is proposed to significantly reduce the amount of time to characterize 3-D antenna far-field patterns. The measured far field is expanded into spherical harmonics, and a sparse recovery algorithm is used to recover the spherical wave coefficients giving access to the field radiated by the antenna everywhere. A small number of measurement points are required, since the relevant information of the most antenna patterns is concentrated in only a few spherical wave coefficients. Sampling strategies enabling fast spherical scans are discussed, which makes the approach both efficient and easy to implement in existing far-field measurement facilities. Simulations are first provided to show the potentialities of this compressive sensing-based approach. The proposed strategy is then applied to characterize 3-D far-field patterns radiated by several antennas operating in different frequency bands measured in far field in direct line of sight configuration and in a compact antenna test range. Experimental results show that a saving in the number of measurement points up to 70% can be achieved compared with standard approaches. These results pave the way to a more efficient use of far-field measurement facilities. © 1963-2012 IEEE.
%G English
%2 https://univ-rennes.hal.science/hal-01637413/document
%2 https://univ-rennes.hal.science/hal-01637413/file/hal-01637413.pdf
%L hal-01637413
%U https://univ-rennes.hal.science/hal-01637413
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