Secure Joint Communications and Sensing using Chirp Modulation

Abstract

Joint sensing and communications is likely to be one of the new features in upcoming 6G systems. With this in mind, we propose a chirp-based waveform that is adequate for both of these purposes. We analyse its performance in two different scenarios, automotive and robotics for industry 4.0, with stochastic radio channel. Moreover, we show how to increase the system security by generating encryption keys from the random common channel using this waveform. To increase the entropy of the key, we develop a wideband approach, based on filterbank filtering.