Title :
Finding failed element positions in linear antenna arrays using neural networks
Author :
Patnaik, Amalendu ; Christodoulou, Christos
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Sc. & Tech., Berhampur
Abstract :
In this paper a method using artificial neural networks (ANN) has been developed to identify the fault elements in linear array antennas. The ANN forms a mapping between the radiation pattern of the faulty array with the faulty element position. After proper training, the response time of the ANNs is very fast in identifying even the partially fault elements. The present work can also be extended for planar arrays of different kinds
Keywords :
antenna radiation patterns; electrical engineering computing; fault diagnosis; linear antenna arrays; neural nets; planar antenna arrays; reliability; artificial neural networks; failed element positions; faulty array; linear antenna arrays; partially fault elements; planar arrays; radiation pattern; Antenna arrays; Antenna radiation patterns; Artificial neural networks; Delay; Electronic mail; Fault diagnosis; Intelligent networks; Linear antenna arrays; Neural networks; Radar antennas;
Conference_Titel :
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location :
Albuquerque, NM
Print_ISBN :
1-4244-0123-2
DOI :
10.1109/APS.2006.1710883
