Antenna Modeling Using Sparse Infinitesimal Dipoles Based on Recursive Convex Optimization

Cited 4 time in webofscience Cited 0 time in scopus
  • Hit : 76
  • Download : 0
Infinitesimal dipole modeling (IDM) can model antennas analytically with small amounts of data. Constrained IDM has been proposed to improve the modeling efficiency by fixing the positions and orientations of the dipole elements. The restrictions have a tradeoff of the modeling requiring more dipole elements. Therefore, the modeling technique has the disadvantage of having low practicality. A recursive convex optimization based on reweighted l(1)-norm is proposed for sparse IDM. By applying the reweighted l(1)-norm to the convex optimization, the IDM can represent sparse solutions. Antennas can be modeled with dipole elements less than half of the previous constrained IDM. For verification, a five-patch array antenna and a slot array antenna are modeled by the proposed IDM scheme. About 57% and 45% of the dipole elements can be respectively suppressed using the proposed algorithm, with only 1 dB degradation in modeling accuracy.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2018-04
Language
English
Article Type
Article
Citation

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, v.17, no.4, pp.662 - 665

ISSN
1536-1225
DOI
10.1109/LAWP.2018.2810289
URI
http://hdl.handle.net/10203/241503
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 4 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0