A Geometric Model for Estimating Time Difference of Arrival (TDOA) Performance
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Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2021-1398.vid Time difference of arrival (TDOA) is a multi-ship passive ranging technique that provides a very accurate location estimate without the need for a directional antenna or long dwell durations. TDOA is more robust in the type of emitters that can be located and does not require cooperation from the emitter itself. Existing methods for estimating the TDOA accuracy are based on the Cramer Rao Lower Bound (CRLB); however, these estimates are often optimistic, particularly when the measurement errors are biased. A geometric model is presented for estimating TDOA accuracy based on the intersection of the polar angles of the hyperbolas that yields a more accurate estimate of location error in the presence of primarily biased measurements. This model captures the dilation of accuracy with geometry and is convenient for effects-based simulation or performance analysis.
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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 | 0.001 |
| 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)
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