Principal Component Analysis Applied to Microstrip Antenna Radiation
Reza Adeyemi
Corresponding
Jadavpur University
Rafiqul Sarker
Seoul National University
Rajesh Molla
National University of Singapore
Rajesh Gupta
University of Tokyo
Abstract
Interest in microstrip antenna radiation has grown steadily as the scale and complexity of automotive components continue to increase. The model was implemented in software and coupled with principal component analysis to permit rapid parametric study. Throughput improved by 17% after the principal bottleneck in the process had been eliminated. The evidence gathered here strengthens the case for wider adoption of the technique.
Keywords:
microstrip antenna radiationprincipal component analysisartificial neural networkharmonic distortionsoil-structure interaction
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