Sparse Solution Trade-offs in GMP DPD: A Least Squares Thresholding Approach
2026-06-16T08:52:01Z•7fe6c48dfc8662ceb01e58bbf428743a08da1693e14c907a934317cfdfb785a3
ISRLeast Squares ThresholdingMIMOMMSEOMPambiguity resolutionbeamformingchannel–noise dependencedigital pre‑distortioneavesdroppingelectromagnetic limitsjammingmoving target imagingmultidimensional Chinese remainder theoremplanar arrayspower amplifiersprivacyprogrammable metasurfacesreconfigurable intelligent surfacessparse recoverysurveillancesynthetic aperture radarterahertz communicationswavefront synthesiszero‑forcing
What happened
This collection of recent signal-processing and electromagnetics papers presents advances with clear dual‑use implications for sensing and communications. Key contributions: (1) a low-complexity Least Squares Thresholding (LST) sparse solver for digital pre‑distortion (DPD) in satellite PAs yielding ~2.8x complexity reduction versus OMP; (2) a two‑part framework for moving‑target SAR using planar subarrays and a multidimensional Chinese Remainder Theorem (MD‑CRT) that enlarges unambiguous ranges and provides robust reconstruction/error bounds; (3) prototype‑aware, electromagnetically‑consitent
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 7fe6c48dfc8662ceb01e58bbf428743a08da1693e14c907a934317cfdfb785a3
- Enrichment time
- 2026-06-16T08:52:01Z
- AI-assisted enrichment
- Yes
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