DoA Estimation in Hybrid Analog and Digital Receivers using Orthogonal Analog Combiners.
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Bibliographic record
Abstract
We develop two novel algorithms for estimating the direction of arrival (DoA) of mul- tiple sources in a hybrid analog and digital (HAD) receiver with both fully-connected (FC) and partially connected (PC) architectures. In HAD receivers, analog combiners project the received signal on a particular subspace. There can be DoAs in which the received signals will be heavily attenuated or nullified by the analog combiner. That is, an analog combiner defines spatial sectors, beyond which DoAs are unde- tectable. The first algorithm uses one or more analog combiners, each spanning a distinct subspace and collectively spanning the entire space. A standard DoA es- timation technique is applied by the digital combiner to estimate the DoAs within each sector. The estimates of the first algorithm may not be sufficiently accurate for practical applications. To remedy this weakness, Algorithm 2 performs sequential estimation refinements by successively narrowing the window over which the search is performed.
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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 | 0.001 | 0.001 |
| 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)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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