Enhanced Object Localization Using a Beamsteering mmWave Communication System

This work focuses on object localization algorithms using channel impulse responses (CIR) of beamsteering millimeter wave (mmWave) communication systems. Without limiting generality, the transmitter and receiver are considered to reside in the two focal points of ellipses, while objects are positioned at the perimeter of those ellipses. The idea is inspired by bistatic RADAR systems, using a communication link that can simultaneously serve for sensing in a joint communication and sensing (JCAS) scenario. For experimental verification, we performed the channel measurements in an anechoic chamber. The main contribution of this work is developing an approach for enhancing object identification using antenna pattern deconvolution and improving the visual representation of the obtained data. Furthermore, the paper investigates the impact of the angular step size on the resolution of found objects for a fixed beam width. Our proposed method enhances object identification and reconstruction compared to prior research.