Wideband Calibration Methods on a Modified Vector Network Analyzer System

The increasing need for larger bandwidth to support faster transfer rates in modern telecommunication systems, like the introduction of the 5G cellular standard in 2019 and the ongoing research into 6G, is resulting in a worldwide increase in power consumption <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref>. Power amplifiers (PAs) in base stations are the main contributors to this power consumption <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref>. Besides their power-added efficiency, the gain and the linearity of these amplifiers are important because in modern wideband (WB) systems, no power can be leaked into adjacent channels. The challenges become even greater with the use of spectral-efficient modulation schemes that produce signals with large amplitude variations <xref ref-type="bibr" rid="ref3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[3]</xref>. Therefore, WB-modulated measurements play a critical role in evaluating the performance of RF systems. Unlike narrow-band techniques, which may overlook the nonlinear distortion effects inherent in modern communication systems, WB measurements provide a more comprehensive understanding across a broader frequency spectrum. In today’s communication landscape, where high-speed data transmission and sophisticated modulation techniques are prevalent, the need for WB-modulated measurements is more significant than ever. These measurements allow engineers to accurately assess the impact of nonlinear distortion on signal quality and integrity, ensuring reliable operation in demanding applications. Engineers can also identify and mitigate issues such as spectral regrowth, phase noise, and amplitude drop, which can degrade system performance and compromise the user’s experience. Additionally, these measurements can be employed to optimize system designs, enhance signal quality, and minimize the risk of interference and signal degradation in real-world environments.