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Sophisticated antenna technologies are constantly evolving to meet theescalating data demands projected for 6G and future networks. Thecharacterization of these emerging antenna systems poses challenges thatnecessitate a reevaluation of conventional techniques, which rely solely onsimple measurements conducted in advanced anechoic chambers. In this study, ourobjective is to introduce a novel endeavour for antenna patterncharacterization (APC) in next-generation multiple-input-multiple-output (MIMO)systems by utilizing the potential of signal processing tools. In contrast totraditional methods that struggle with multi-path scenarios and requirespecialized equipment for measurements, we endeavour to estimate the antennapattern by exploiting information from both line-of-sight (LoS) and non-LoScontributions. This approach enables antenna pattern characterization incomplex environments without the need for anechoic chambers, resulting insubstantial cost savings. Furthermore, it grants a much wider researchcommunity the ability to independently perform APC for emerging complex 6Gantenna systems, without relying on anechoic chambers. Simulation resultsdemonstrate the efficacy of the proposed novel approach in accuratelyestimating the true antenna pattern.

Signal Processing Based Antenna Pattern Characterization for MIMO Systems