A Novel CS-TSVD Strategy to Perform Data Reduction in Linear Inverse Scattering Problems

High-resolution radar imaging systems employ wideband signals and large array apertures, resulting in the generation of large amounts of data. This renders both data acquisition and processing challenging. In this letter, we propose a hybrid approach for a stepped-frequency imaging radar system, which is based on the compressive sensing and novel concepts of microwave tomography, to establish a reduced-redundancy spatial and frequency measurement configuration. The proposed approach provides clear advantages in terms of measurement time and algorithm complexity while maintaining the quality of the scene reconstructions. Laboratory experiments are used to validate the hybrid strategy.