Digital Uncoupling of Coupled Multi-Beam Arrays
Why this work is in the frame
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Bibliographic record
Abstract
Antenna arrays consisting of up to thousands of elements are required in a plethora of applications, such as wireless communications, microwave imaging, radio astronomy, and radar. The electromagnetic fields surrounding the antenna elements are mutually coupled; this means that an excitation of a given element also causes voltages to be induced in the terminals of the neighboring elements. Such coupling causes deviation of the expected antenna array beam response unless mitigation of the mutually-coupled fields available within the beamforming scheme. Antenna mutual coupling also causes LNA noise coupling, which can severely degenerate the noise performance of an array receiver. The mutual coupling between elements can be quantified by measuring the scattering parameters across the array using a vector network analyzer. This paper proposes a low-complexity and real-time capable algorithm that will furnish the uncoupling of mutually coupled elements in the digital signal processing back-end using a fast inversion algorithm for tridiagonal toeplitz matrices.
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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