Keywords :
Cell Free Massive MIMO; Extended Kalman Filter; Integrated Communications and Sensing; Multi-Static Radar; Performance Analysis; Cell free massive MIMO; Cell-free; Communication subsystems; Fusion center; Integrated communication and sensing; Multiple-Input Multiple- Output systems; Multistatics; Performance; Performances analysis; Radar subsystems; Computer Networks and Communications; Computer Vision and Pattern Recognition; Signal Processing; Safety, Risk, Reliability and Quality; Analysis; Extended Kalman; Filter
Abstract :
[en] In this paper, we evaluate the performance of a coexistence based integrated communications and sensing (ICS) system, combining a cell free massive multiple input multiple output (CF-mMIMO) system with a multi-static sensing radar. The multi-static radar is assumed to consist of multiple sensors, all tracking a single target and connected to a fusion centre (FC). The radar subsystem is further assumed to employ a two level extended Kalman filter (EKF) that performs the tracking at both the individual sensors and at the FC. The communications subsystem is assumed to consist of the uplink of a CF-mMIMO system and its operation is divided into two sub-frames, viz. channel estimation and data transmission. We evaluate the system performance in terms of the achievable rates by the communication subsystem and the mean square error (MSE) tracking performance of the radar subsystem. Via extensive numerical simulations, we show that due to the increased diversity offered by distributed nature of both the subsystems, they are able to coexist without causing significant deterioration in each other's performance.
Mishra, Aparna; Iit Guwahati, Department of Eee, Guwahati, India
Chopra, Ribhu; Iit Guwahati, Department of Eee, Guwahati, India
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