Fast Scattering Center Extraction With DDM Based on Compressive Sensing for ISAR Imaging

Abstract

In this paper, we propose to employ compressive sensing (CS) in the domain decomposition method (DDM) to construct a new incident source with much fewer excitation wave to obtain the compressed-induced currents, which can then be recovered by orthogonal matching pursuit algorithm. The complexity of the computational electromagnetic (EM) model for solving the multiscale scattering problems is reduced significantly. Therefore, the received echo data can be much faster extracted from strong scattering centers of the target in EM environment, which can be utilized for ISAR imaging to achieve high resolution for moving targets. The new proposed CS-DDM algorithm requires much fewer sampling data to transmit, process, and storage, so that the accuracy and efficiency for ISAR imaging can be improved greatly, which can bring much benefit for the development of applications of security problems in smart campus.

Keywords

• Computational electromagnetic (CEM)
• compressive sensing (CS)
• domain decomposition method (DDM)
• inverse synthetic aperture radar (ISAR)