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2009-02-18
Fault Diagnosis of Planar Antenna Arrays Using Neural Networks
By
Progress In Electromagnetics Research M, Vol. 6, 35-46, 2009
Abstract
A systematic method for the diagnosis of planar antenna arrays from far field radiation pattern using neural networks is presented. Two types of neural networks, Radial basis function (RBF) and Probabilistic neural network (PNN) are considered for the performance comparison. Deviation pattern is used as input to the neural network to determine the location of the faulty element and error in excitation.
Citation
Damera Vakula Nookala Venkata Sarma , "Fault Diagnosis of Planar Antenna Arrays Using Neural Networks," Progress In Electromagnetics Research M, Vol. 6, 35-46, 2009.
doi:10.2528/PIERM09011204
http://www.jpier.org/PIERM/pier.php?paper=09011204
References

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doi:10.1109/8.855482

3. Rodriguez, J. A., F. Ares, H. Palacios, and J. Vassal'lo, "Finding defective elements in planar arrays using genetic algorithms," Progress In Electromagnetic Research, Vol. 29, 25-37, 2000.
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