Integration of GNSS and INS with a phased array antenna
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
High attenuation, blockage and severe multipath fading in urban environments, under dense canopy or jamming attacks degrade accuracy, continuity, availability and integrity of GNSS services. GNSS/INS integration and antenna array beamforming approaches both provide certain levels of protection against these challenging circumstances in different ways and are studied in the literature; however, their combination of them has received less attention. This research studies different strategies to combine a GNSS antenna array with an inertial navigation system. The focus is on the integration of ultra-tight and tightly coupled GNSS/INS with a distortionless GNSS beamformer. It is shown that a tighter integration of a phase array antenna with INS and GNSS not only has all the benefits of array processing and INS in dealing with challenging environments, but also can provide external information for attitude parameters, and therefore, the overall performance of the integrated system is improved. To verify the applicability of the integrated system and to evaluate its performance, two sets of data have been collected and analyzed.
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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