Weak GPS Signal Acquisition Using Antenna Diversity
Why this work is in the frame
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Bibliographic record
Abstract
GPS signal acquisition is challenging in attenuating and multipath fading environments. Standard methods, such as extending the coherent integration time to achieve more processing gain, are not always feasible for acquiring weak signals using unaided receivers. Spatial antenna diversity is used for indoor applications to mitigate the multipath fading effect in the acquisition process. Equal gain combining of two received signals is considered in a standalone processing strategy. The main novelty of this paper is to investigate improvement in acquisition time by utilizing antenna diversity for indoor scenarios. A detection threshold for which mean acquisition time is minimized is numerically shown to exist. The importance of acquisition time variance is discussed and diversity gain is evaluated. Theoretical analysis is compared with Monte Carlo simulations and real GPS data. Results show that antenna diversity improves detection probability, reduces false alarms and mean and variance of acquisition time in fading environments. Copyright © 2015 Institute of Navigation
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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 | 0.001 |
| 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