Sequential adaptive sampling algorithm to reduce the near-field measurement time

Abstract

This paper presents a sequential adaptive sampling algorithm in order to reduce measurement time of near-field scan. The originality of this approach is to use a deterministic mesh swept according to a sequential progressive adaptive algorithm that defines whether a point must be captured or not. All the proposed algorithm parameters are set according to spatial field characteristics and the measurement setup. This approach is validated on two case studies.