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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ayestaran, R.G. Las-Heras, F. Herran, L.F. |
| Copyright Year | 1963 |
| Abstract | Traditional synthesis methods usually deal with the Array Factor information or with approaches based on considering ideal radiating elements without interaction between them. Taking into account the coupling between elements increases the complexity of the synthesis tasks, so it is usually disregarded assuming a certain error in the solution. As shown in the paper, this error can be unacceptable in some antenna array designs. A neural network-based solution can exploit the "a priori" knowledge of the radiating system to relate a given radiated field distribution with the voltages that must be applied to each radiating element taking into account mutual coupling effects without increase of complexity from the designer's point of view. A set of techniques based on the use of neural networks for synthesis purposes are presented in this paper. Results of a prototype of antenna array with feeding values designed using the proposed techniques are also presented |
| Sponsorship | IEEE Antennas and Propagation Society |
| Starting Page | 832 |
| Ending Page | 840 |
| Page Count | 9 |
| File Size | 1152269 |
| File Format | |
| ISSN | 0018926X |
| Volume Number | 55 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mutual coupling Antenna arrays Antenna radiation patterns Pattern analysis Neural networks Cost function Network synthesis Voltage Antenna feeds Phased arrays neural networks Antenna array antenna radiation patterns mutual coupling |
| Content Type | Text |
| Resource Type | Article |
| Subject | Condensed Matter Physics Electrical and Electronic Engineering |
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