Effectiveness of Adaptive Window Scans in Reducing Near-Field Measurement Time

The widespread application of near-field scanning is limited by its long measurement time. This article proposes a window-scanning-based automated adaptive sampling approach to address this issue. The proposed approach involves implementing a global search technique to progressively identify the locations for which experimental measurements should be performed, thereby preventing the accumulation of a large number of measurement points in a single location. The proposed algorithm incorporates a windowed scanning strategy, a sequential adaptive method, and a deterministic mesh to reduce measurement time without affecting field profiles, thus allowing for the construction of equivalent radiation models of the device under test. In addition, two distinct cases are considered to test the approach proposed in this study.