Non-anechoic measurements represent an affordable alternative to evaluation of antenna performance in expensive, dedicated facilities. Due to interferences and noise from external sources of EM radiation, far-field results obtained in non-ideal conditions require additional post-processing. Conventional correction algorithms rely on manual tuning of parameters, which make them unsuitable for reliable testing of prototypes. In this...

Authors present the procedure of taking into account the changes of electrical parameters of setup due to the time drift of temperature during the procedure of near field measurement. It is proposed to make additional measurements in determined positions of probe are next used the results to introduce corrections terms in measured data. Such approach was verified practically in experimental near field measurement system.

Prototype measurements belong to the key steps in the development of antenna structures. Although accurate validation of their far-field performance can be realized in dedicated facilities, such as anechoic chambers, the high cost of their construction and maintenance might not be justified if the main goal of measurements is to support teaching or low-budget research. Instead, they can be performed in non-anechoic conditions and...

Measurements of antenna prototypes are normally performed in dedicated, yet costly environments such as anechoic chambers (ACs). However, the AC construction cost might be unjustified when the measurements aim to support education, or budget-tight research. Alternatively, experiments can be realized in non-anechoic regime and refined using appropriate methods. In this letter, a framework for correction of antenna far-field measurements...

In this paper, we present a novel approach utilizing a small Unmanned Surface Vehicle (USV) equipped with Global Navigation Satellite System (GNSS) technology to facilitate large-scale outdoor automated measurements. The system employs dedicated software and measurement scripts to autonomously navigate the robot along predefined routes, stopping at multiple points for data collection. This method minimizes observational error and...