No title
A total of 24 UAV flights in the vicinity of integrated sensing and communications-enabled (ISAC) antenna systems, called base stations, were selected to investigate whether tracking can be improved using machine learning methods. This was done by inputting time series of range-Doppler (r-D) maps created from continuously calculating channel estimates of the bistatic environment around base statio
