Microwave Inversion of Measured S-Parameters Using a Thin-Wire Antenna Model
Bibliographic record
Abstract
An imaging procedure based on the minimization of an objective function that incorporates measured S-parameters is presented. Experimentally measured S-parameters are used to link modelled incident and reflected power waves at the antenna ports. The S-parameter objective function is incorporated into the Contrast Source Inversion method. A sub-grid thin-wire model is used to model these incident and reflected power waves. The new procedure is used to image a simple breast phantom, consisting of a tumour within a homogeneous fat region, placed within an air-based quasi-resonant breast imaging chamber. Single frequency S-parameters measurements at the ports of 24 half-loop antennas on the chamber walls constitutes the inversion data. The thin-wire antenna model, which reduces modelling error, together with the new objective function, lessens the burden on calibration procedures that often fail when the objective function is formulated using field components. Experimental results show promising imaging performance over a large frequency band.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".