Term 4-1 · Electrical Engineering Coursework
Sensor Applications — AESA-SAR & Physics-Guided Diffusion
A research proposal links AESA acquisition, conventional SAR reconstruction, and physics-conditioned diffusion with a staged validation roadmap.
AESA-SAR proposal scope
A research proposal links AESA acquisition, conventional SAR reconstruction, and physics-conditioned diffusion with a staged validation roadmap.
- Status
- Concept / Proposal Only
- Evidence
- Research Concept · Architecture · Validation Roadmap · No Implemented Result
- Contribution
- Team Project · Individual contribution unconfirmed
Signal-processing baseline and diffusion stage
Rather than collapsing AESA hardware, SAR formation, and a generative model into one claim, the proposal decomposes RF sensing, DBF, conventional reconstruction, conditional diffusion, and evaluation. The deliverable is a testable research plan, not an implemented result.
- A conventional RDA/CSA/BPA baseline precedes any learned-model comparison.
- Observation degradation, undersampling, and train/validation/test separation are documented first.
- Image-quality and physics-consistency metrics are evaluated together.
- Conditioning/loss ablations and noise/model-mismatch robustness are part of the roadmap.
Processing blocks and validation plan
Current deliverables
Dataset, training, and prototype absence
No trained model, dataset, AESA prototype, field/flight test, or quantified gain is claimed. The public scope contains only system layers and validation methods, not operational procedures or actionable attack information.
Report and validation plan
Links point to publishable sources, calculations, logs, and detailed provenance.