par S. M. Monfared, Shaghayegh ;Nguyen, Trung-Hien ;Van der Vorst, Thomas ;De Doncker, Philippe ;Horlin, François
Référence (25-28 May, 2020: Antwerp, Belgium), Proc. of the IEEE 91st Vehicular Technology Conference, VTC-Spring
Publication Publié, 2020-05
Publication dans des actes
Résumé : In practice, the subspace-based algorithmssuch as Multiple Signal Classification (MUSIC) suffer fromsensitivity to antenna-array response errors and thereforethey require the assessment of the calibration gain andphase perturbations. This paper evaluates experimentallythe accuracy of Angle-of-Arrival (AoA) estimation based onthe MUSIC algorithm only coming from these perturbationsin the context of Internet-of-Thing (IoT) applications.First of all, a new Over-the-Air (OTA) calibration method isproposed and gain and phase uncertainties are investigated.The impact of these uncertainties on the accuracy ofAoA estimation is then studied and compared with thetheoretical analysis. The experimental results show that thecalibration errors coming from hardware imperfections cancause some degrees of uncertainty in AoA estimation.