Effect of Antenna Noise on Angle-of-Arrival Estimation of Ultrawideband Receivers
Bibliographic record
Abstract
This paper presents a method for predicting the angle-of-arrival (AOA) using ultrawideband time-difference-of-arrival technique, when the received signal is corrupted by antenna noise. To predict the accuracy of the AOA, the probability density function of the estimated AOA and the standard deviation (rms error) are derived. Numerical simulations and measurements for AOA, in thermal noise conditions, are carried out for three different SNRs. The rms error of the measured and simulated AOAs is then compared with the theoretical standard deviation. The measurements are done with two ridged-horn antennas placed on a turn-table and the received signals are recorded (50 times) at intervals of 1° between -20° and +20°. Accuracy of the proposed AOA estimation model is validated by simulations and measurements.
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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".