Litcius/Paper detail

Target Reconstruction Against Deceptive Jamming for Single-Channel SAR: An Imagery Domain Approach

Shiqi Liu, Bo Zhao, Lei Huang, Bing Li, Yuezhou Wu, Weimin Bao

2022IEEE Geoscience and Remote Sensing Letters17 citationsDOI

Abstract

The high fidelity and fraudulence of deceptive jamming can severely mislead synthetic aperture radar (SAR), which poses a big challenge in SAR imaging. In this letter, an imagery domain target reconstruction approach is proposed to suppress deceptive jamming for single-channel SAR. Specifically, the distinction between the echo signals of true targets and deceptive jamming in the azimuth phase is ascertained first. Then, the imaging process encountering deceptive jamming is formulated as a linear model, and the target reconstruction problem is converted to a linear inverse problem with the dictionary containing the explored phase characteristics. Finally, considering the sparsity of man-made targets, the imageries of the true and false targets can be reconstructed simultaneously through solving this sparse signal recovery problem. Theoretical analysis and experimental results showcase the superiority of the proposed method.

Topics & Concepts

JammingComputer scienceSynthetic aperture radarInverse synthetic aperture radarChannel (broadcasting)Artificial intelligenceAzimuthRadar imagingComputer visionIterative reconstructionProcess (computing)Image formationRadarImage (mathematics)TelecommunicationsMathematicsPhysicsOperating systemGeometryThermodynamicsAdvanced SAR Imaging TechniquesMicrowave Imaging and Scattering AnalysisSparse and Compressive Sensing Techniques