%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 %~ UNIV-NANTES %~ UNIV-RENNES1 %~ CNRS %~ INSA-RENNES %~ IETR %~ SUP_IETR %~ STATS-UR1 %~ CENTRALESUPELEC %~ UR1-HAL %~ UR1-MATH-STIC %~ UR1-UFR-ISTIC %~ IETR-BEAMS %~ IETR-ADH %~ TEST-UNIV-RENNES %~ TEST-UR-CSS %~ UNIV-RENNES %~ INSA-GROUPE %~ TEST-HALCNRS %~ UR1-MATH-NUM %~ NANTES-UNIVERSITE %~ UNIV-NANTES-AV2022