Amplitude pattern synthesis for conformal array antennas using mean-field neural networks
conference paper
In this paper, we deal with the synthesis problem of conformai array antennas using a mean-field neural network. We applied a discrete version of mean-field neural
network proposed by Vidyasagar [1], This technique is used to find the global minimum of the objective function, which represents the square of the distance between the required and actual radiation pattern. We compared the results with those obtained by an iterative least square synthesis.
network proposed by Vidyasagar [1], This technique is used to find the global minimum of the objective function, which represents the square of the distance between the required and actual radiation pattern. We compared the results with those obtained by an iterative least square synthesis.
TNO Identifier
95518
Publisher
TNO
Source title
Proceedings of the 2nd European workshop on conformal antennas, 24-25 April 2001, TNO-FEL, The Hague, The Netherlands
Editor(s)
Visser, H.J.
Place of publication
The Hague
Pages
3 p.
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