RF Compressed Sensing Radar Based on Digital Beamforming for Localization and IoT Applications

This paper presents the concept of a radio frequency (RF) compressed sensing radar for indoor localization. A digital beamforming architecture for RF physical layer compressed sensing is discussed. Compressed sensing can reconstruct an under-sampled signal provided it is sparse in nature. A pseudo random multi-beam radiation pattern will be used to scan the target frame. The spatial sparsity in the target frame helps in recovering the entire frame using less number of scans compared to the conventional indoor localization system.