Radar-Enabled Integrated Sensing and Backscatter Communication Systems

The emerging integrated sensing and backscatter communication (ISABC), is expected to provide a new paradigm for Internet of Things (IoT) applications. In this paper, we propose a novel radar-enabled ISABC (R-ISABC) system design, where the signal processing center (SPC) can simultaneously perform localization for multiple targets and symbol detection for multiple backscatter devices (BDs) without requiring knowledge of the exact waveform of the radar signal. In particular, we first characterize the received signal models using the angle of arrivals (AOAs) of targets, symbol vectors transmitted by BDs, and the environment radar reverberation, and then an explicit third-order tensor model is elaborated by leveraging the periodicity of the radar reverberation and rearranging the sampled received signals. Then, we propose a novel CANDECOMP/PARAFAC decomposition (CPD)-assisted joint angle estimation and BD symbol detection algorithm based on the formulated third-order tensor model with the differential coding adopted at each BD. Numerous simulation results verify the feasibility and effectiveness of the R-ISABC system design.