Ambiguity resolution in RSS-based emitter geolocation
Why this work is in the frame
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Bibliographic record
Abstract
The concept of using received signal strength (RSS) measurements from spatially dispersed RSS sensors for emitter geolocation has attracted considerable interest due to its implementation simplicity. However, there remains a need to better understand the underlying mechanisms that sometimes result in anomalously poor geolocation performance, even with high quality RSS information. An important aspect of this problem concerns the complex dependence of the emitter geolocation accuracy on the relative positions of the RSS sensors with respect to the emitter, i.e., the emitter-sensor geometry. This paper discusses the problem of ambiguities arising from the emitter-sensor geometry in RSS-based geolocation systems and shows that angle of arrival (AOA) information from a single direction finding (DF) sensor can substantially improve the robustness of RSS-based geolocation algorithms in some scenarios.
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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 | 0.001 | 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