Use of XM <sup>TM</sup> radio satellite signal as a source of opportunity for passive coherent location
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
This article investigates the use of an XMTM signal as a source of opportunity for passive coherent location. An analysis of the echo-to-direct signal ratio and the echo-to-noise ratio emphasises two major target detection problems: the masking effect of the direct signal and the low power of the echo from the reflected signal. First, a subspace-based method is proposed to suppress the direct signal by the projection of the received signal in subspaces orthogonal to direct signal. Then, to overcome the problem of low power of the echo, a directive gain technique is also proposed: an overlapped array is used to provide a directive gain while maintaining a sufficient resolution for using the subspaces method. The number of subarrays employed is optimised for maximum gain while avoiding the occurrence of nuls at the output of a filter matched to the direct path signal, for specific numbers of subarrays. The impact of the subtraction of the noise covariance matrix of noise is also studied. The integrated detection system is then tested through simulations to verify its effectiveness for the detection of moving targets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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