http://repository.iitr.ac.in/handle/123456789/8447
Title: | Modeling frequency reconfigurable antenna array using neural networks |
Authors: | Patnaik, Amalendu Anagnostou D. Christodoulou C.G. Lyke J.C. |
Published in: | Microwave and Optical Technology Letters |
Abstract: | In order to avoid the computational complexities involved in analyzing reconfigurable antennas, neural networks are used as an alternate approach. The neural network finds the location of the operational frequency hands for any combination of switches connecting different radiating elements. The network outputs are compared with the experimentally measured results. © 2005 Wiley Periodicals, Inc. |
Citation: | Microwave and Optical Technology Letters (2005), 44(4): 351-354 |
URI: | https://doi.org/10.1002/mop.20632 http://repository.iitr.ac.in/handle/123456789/8447 |
Issue Date: | 2005 |
Keywords: | Antenna array MEMS Neural networks Reconfigurable antennas |
ISSN: | 8952477 |
Author Scopus IDs: | 7102813204 6701668156 35465847700 57205900168 |
Author Affiliations: | Patnaik, A., Department of Electrical Engineering, University of New Mexico, Albuquerque, NM 87131, United States Anagnostou, D., Department of Electrical Engineering, University of New Mexico, Albuquerque, NM 87131, United States Christodoulou, C.G., Department of Electrical Engineering, University of New Mexico, Albuquerque, NM 87131, United States Lyke, J.C., Air Force Research Laboratory, VSSE Kirtland AFB, Albuquerque, NM, United States |
Corresponding Author: | Patnaik, A.; Department of Electrical Engineering, University of New Mexico, Albuquerque, NM 87131, United States |
Appears in Collections: | Journal Publications [ECE] |
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