THE UNIVERSITY OF CALGARY Selected GPS Receiver Enhancements for Weak Signal Acquisition and Tracking
Bibliographic record
Abstract
ii The sensitivity of a baseband signal processing unit, including both acquisition and tracking, is critical for a GPS receiver to function in perturbed signal enviroments such as indoors and under ionospheric scintillation.. To improve acquisition sensitivity, the dif-ferential combining approach, which allows a 2.5 dB improvement in processing loss as compared to noncoherent methods, is proposed herein. This results in a sensitivity im-provement ranging from 1.2 dB to 1.6 dB for a given probability of false alarm and mi-ssed detection. Based on an analysis of the Costas-family PLLs, carrier tracking is enhanced by optimiz-ing loop configurations. The decision-directed loop, exhibits a 2-dB sensitivity im-provement as compared to other types of PLLs. Bandwidth and root deviation caused by bilinear or boxcar transforms are solved by implementing a root-controled method. Using this design makes the bandwidth of the digital loop close to desired values, and thus im-proves carrier tracking by another 1 to 2 dB. A Kalman Filter adopts a soft-mode to deal with the bit sign uncertainty and adjusts the bandwidth to minimize the mean square car-rier tracking error. This leads to a 4 dB and 7 dB sensitivity improvement during weak and strong amplitude ionospheric scintillations, respectively. iii
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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".