Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/1906| Title: | A Method for Diagnosis of Current Faults in AntennaArrays Using Neural Networks |
| Authors: | Vakula, D. Sarma, N.V.S.N |
| Keywords: | Far-field radiation pattern Current magnitude faults Current phase faults Artificialneural network and array factor |
| Issue Date: | 2009 |
| Publisher: | International Journal of RF and Microwave Computer-Aided Engineering |
| Citation: | 10.1002/mmce.20348 |
| Abstract: | A method for detection of faulty elements in antenna arrays from far-field radiation pattern is presented. The proposed technique finds variation of current from correct values in the faulty elements. A step wise approach is proposed to determine magnitude and phase of current excitation and location of faulty element using neural networks. The results with radial basis function neural network and probabilistic neural network are compared. © 2008 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2009. |
| Description: | NITW |
| URI: | http://localhost:8080/xmlui/handle/123456789/1906 |
| Appears in Collections: | Electronics and Communications Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Int J RF Mic Comp-Aid Eng - 2008 - Vakula - A method for diagnosis of current faults in antenna arrays using neural.pdf | 178.15 kB | Adobe PDF | View/Open |
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