Study on Sparse MIMO Array for Compressive Sensing Imaging

Abstract

This paper discusses Compressive Sensing (CS) imaging based on different multiple-input multiple-output (MIMO) arrays. As the system responses matrix is related to the array geometry, the topology of a MIMO array has a huge impact in CS reconstruction. Numerical simulations demonstrate that the curvilinear array achieves better reconstruction than the Mills Cross array and uniform rectilinear array. Moreover, the traditional point spread function (PSF) is more suitable than the CS PSF for evaluating the performance of a CS imaging system.