Fast Antenna Far-Field Characterization via Sparse Spherical Harmonic Expansion

B. Fuchs 1 L. Le Coq 1 S. Rondineau M.D. Migliore
1 IETR - Institut d'Electronique et de Télécommunications de Rennes
Abstract : 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.
Keywords : Antenna measurements antenna pattern compact antenna test range compressive sensing spherical harmonics
Type de document :
Article dans une revue
IEEE Transactions on Antennas and Propagation, 2017, 65 (10), pp.5503-5510. 〈10.1109/TAP.2017.2738059〉
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01637413
Contributeur : Laurent Jonchère <>
Soumis le : vendredi 17 novembre 2017 - 15:24:47
Dernière modification le : mercredi 16 mai 2018 - 11:23:51

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B. Fuchs, L. Le Coq, S. Rondineau, M.D. Migliore. Fast Antenna Far-Field Characterization via Sparse Spherical Harmonic Expansion. IEEE Transactions on Antennas and Propagation, 2017, 65 (10), pp.5503-5510. 〈10.1109/TAP.2017.2738059〉. 〈hal-01637413〉

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