An Adaptive Proper Orthogonal Decomposition Method for Evaluating Variability Bounds of Antenna Responses

Abstract

Parameter uncertainties introduced by the manufacturing process will lead to the fluctuation of an actual antenna response. Efficient methods are, thus, required during the design phase to evaluate the variability bounds. This letter proposes an adaptive proper orthogonal decomposition (APOD) method to estimate the variability bounds of the radiation patterns and reflection coefficients of the antenna with uncertain parameters. In this method, a parameterized reduced order model (PROM), as a function of the uncertain parameters, is automatically constructed using a Voronoi diagrams-based multipoint sampling algorithm. Then, the PROM-based Monte Carlo analysis is applied to obtain the variability bounds of the antenna responses. Numerical simulations and experimental tests are conducted, and the results show that the proposed APOD method can obtain comparable accuracy, but achieve a fast speed enhancement, compared with the existing methods.