Lens-Loaded Cavity Antenna With Detector Diode as a Direction-of-Arrival Estimator
Bibliographic record
Abstract
This letter proposes a novel direction-of-arrival (DoA) estimation approach that uses a lens-loaded, coded aperture antenna connected to a detector diode for millimeter-wave (mmWave) frequencies. The presented approach exploits three distinct but closely related properties of mmWave communication front-end hardware: First, the quasi-random radiation modes created by a lens-loaded cavity antenna; Second, the frequency-diverse impulse response of oversized metallic cavities; Third, the sensitivity of detector diodes at mmWave frequencies. Critically, we use a combination of the synthesis approach and experimental results to demonstrate that DoA estimation is possible with less complex hardware as compared to conventional methods, where an array of mmWave antennas is typically employed for DoA estimation. Bandwidth-to-accuracy tradeoff is thoroughly studied, which is an important commercial matrix. It is demonstrated that the lens-loaded cavity antenna with a detector diode circuit can be an apt choice for DoA estimation. Finally, it is shown that the proposed approach provides fast and accurate DoA estimation, thus inherently suitable for DoA estimation in future mmWave systems.
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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".