A 2-D Signal Processing Model to Predict the Effect of Mutual Coupling on Array Factor
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Bibliographic record
Abstract
A semi-analytical method for modeling the effects of electromagnetic mutual coupling in uniform linear array (ULA) of N antennas is proposed. The coupling is described as a two-dimensional (2-D) spatiotemporal transfer function derived from S-parameter measurements. The proposed 2-D transfer function enables prediction of the distortions in array factor due to coupling, and thereby enables the potential design of coupling-compensation algorithms. The method is verified with simulations in the 1.5-2.0-GHz range on both an N=7-element ULA using CST Microwave Studio using 50- Ω terminations and a N=3-element ULA in FEKO but with non-50 Ω impedance obtained from measurements of a CMOS low noise amplifier (LNA). Coupling effect on array factor of delay-sum-type beamformer was examined. The proposed model matches within an error of 4%-12% and 4%-10% with respect to the results from two full-wave electromagnetic simulators CST Microwave Studio and FEKO, respectively, in the frequency range 1.75-2 GHz.
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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 it