Wideband transmitarray with independent phase/amplitude control for millimeter-wave vehicular sensing and communication
Bibliographic record
Abstract
This paper proposes an innovative multi-bit transmitarray (TA) designed for vehicular sensing applications at Ka-band, featuring 400 unit cells with independent adjustments in both phase and amplitude. The far-field beam-steering mechanism involves calculating phase compensation for each unit cell to redirect the beam toward the desired direction, coupled with a multi-bit amplitude distribution system to reduce side-lobe levels (SLL). A Genetic Algorithm (GA) optimization approach is employed to mitigate gain reduction during amplitude tapering, ensuring robust performance. Thus, the primary contribution of this study is the integration of multi-bit amplitude control with phase manipulation, which collectively enhance beam-steering accuracy and side-lobe suppression, providing a high-performance solution that outperforms traditional designs. Simulation results demonstrate two beam scanning techniques: a phase-only beam steering system with a maximum peak gain of 22.3 dBi and SLLs of −15.7 dB and −14.1 dB for the H- and E-planes, respectively, and an independent phase/amplitude mechanism at angles of 0° and 30°, yielding maximum measured peak gains of 27.2 dBi and 24.5 dBi, respectively. Moreover, the measured side-lobe levels and cross-polarization levels remain below −22.1/−19.4 dB and −44/−35.7 dB, for 0°; −16.3/−19.6 dB and −29.7/−29.05 dB for 30° in H-/E-planes, respectively, making the proposed TA a promising candidate for a high-gain and low SLL mm-Wave vehicular communication system.
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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".