Gridless super-resolution sparse recovery for non-sidelooking STAP using reweighted atomic norm minimization

DOI10.1007/s11045-021-00784-xzbMath1485.94030arXiv2004.04559OpenAlexW3170739732MaRDI QIDQ2239141

Yongsheng Hu, Ran Lai, Tao Zhang

Publication date: 2 November 2021

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.04559

zbMATH Keywords

space-time adaptive processingairborne radaroff-gridreweighted atomic norm minimization

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Direct data domain STAP using sparse representation of clutter spectrum
• Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization
• Enhancing Sparsity and Resolution via Reweighted Atomic Norm Minimization
• A multistage representation of the Wiener filter based on orthogonal projections
• Compressed Sensing Off the Grid
• Towards a Mathematical Theory of Super‐resolution

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