This article provides an overview of a few applications of artificial intelligence (AI) in adaptive and reconfigurable antenna arrays. In particular, AI proves to be more robust than traditional approaches in noisy and high multipath environments compared to many signal processing algorithms. AI is highly dependent upon the array architecture and requires the signal control offered by digital beamfonning. Five application areas are presented, including adaptive nulling, wireless localization, multiple-input, multiple-output (MIMO) communications, element failures, and calibration.
Artificial Intelligence for Adaptive and Reconfigurable Antenna Arrays: A Review / Zardi, Francesco; Nayeri, Payam; Rocca, Paolo; Haupt, Randy. - In: IEEE ANTENNAS & PROPAGATION MAGAZINE. - ISSN 1045-9243. - STAMPA. - 2020, 63:3(2021), pp. 28-38. [10.1109/map.2020.3036097]
Artificial Intelligence for Adaptive and Reconfigurable Antenna Arrays: A Review
Francesco Zardi;Paolo Rocca;Randy Haupt
2021-01-01
Abstract
This article provides an overview of a few applications of artificial intelligence (AI) in adaptive and reconfigurable antenna arrays. In particular, AI proves to be more robust than traditional approaches in noisy and high multipath environments compared to many signal processing algorithms. AI is highly dependent upon the array architecture and requires the signal control offered by digital beamfonning. Five application areas are presented, including adaptive nulling, wireless localization, multiple-input, multiple-output (MIMO) communications, element failures, and calibration.| File | Dimensione | Formato | |
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