RF Compressed Sensing Based Radar for 2-D Localization and Mapping

This paper presents the simulation results of a radio frequency (RF) compressed sensing (CS) radar for 2-D localization and mapping. In contrast to many existing literatures, this paper deals with the RF front-end compressive sensing, which is achieved by illuminating the target scenario with pseudo random multi-beam radiation patterns. The spatial sparsity of the target frame enables the use of compressed sensing to recover the scene from fewer number of scans compared with a conventional beam scanning radar. Preliminary simulations are performed, and the results of the reconstructed target frame are presented.