Bayesian 3-D interferometric ISAR imaging for the targets with limited pulses

Abstract

It is difficult to yield high azimuth resolution of a target in short coherent processing interval, which brings certain challenges for the subsequent three-dimensional (3-D) interference inverse synthetic aperture radar (InISAR) imaging. Aiming at this problem, this study introduces a novel 3-D InISAR imaging algorithm for the target with limited pluses. It is assumed that the received echoes have been compensated and image co-registered, and the variational Bayesian interference can be used to process the received limited pulses to yield the high-resolution 2-D ISAR images. At last, the spatial 3-D image of the target can be reconstructed after combining the interferometric processing and range measurement. The simulation results substantiate the validity of the presented algorithm.

Keywords

• synthetic aperture radar
• radar imaging
• radar interferometry
• image resolution
• image reconstruction
• Bayes methods
• stereo image processing
• radar cross-sections
• image registration
• short coherent processing interval
• received echoes
• variational Bayesian interference
• interferometric processing
• range measurement
• high azimuth resolution
• Bayesian 3D interferometric ISAR imaging
• high-resolution 2D ISAR images
• 3D InISAR
• 3D interference inverse synthetic aperture radar imaging