Sparse linear array three-dimensional imaging approach based on compressed sensing

Abstract

With regard to the problems of traditional sparse array antenna imaging approach, since azimuth sampling insufficient of echo signal, it will cause poor resolution such as low resolution, serious main lobe expansion and side lobe jamming, 3D imaging approach of sparse array antenna based on compressed sensing is proposed. Based on Linear array antenna mode, sparse banded observer is designed, and then down-sampling is realized. CoSAMP algorithm is adopted to realize high-resolution image reconstruction. Testing platform is set up in microwave anechoic chamber. Target echo data are obtained through planar array antenna scanning, and then 3D imaging is conducted for targets, which verifies the validity of algorithm. The results show that, in sparse array, the proposed imaging approach has higher imaging resolution.