Artificial Intelligence for Adaptive and Reconfigurable Antenna Arrays: A Review
Francesco Zardi, Payam Nayeri, Paolo Rocca, Randy L. Haupt
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 beamforming. Five application areas are presented, including adaptive nulling, wireless localization, multiple-input, multiple-output (MIMO) communications, element failures, and calibration.
Topics & Concepts
Multipath propagationSmart antennaComputer scienceBeamformingElectronic engineeringAntenna (radio)MIMOWirelessAdaptive beamformerSignal processingAntenna arrayDigital signal processingEngineeringChannel (broadcasting)TelecommunicationsDirectional antennaAntenna Design and OptimizationAntenna Design and AnalysisDirection-of-Arrival Estimation Techniques