Design on cruise missiles positioning system based on geomagnetic field disturbances detection
Bibliographic record
Abstract
In order to realize wide range detection,accurate identification,precise positioning on cruise missiles,a system for cruise missiles recognition and positioning based on magnetic field disturbance detection is proposed.According to the law of Biot-Sand the Laval law and electromagnetic induction,design a method for inversion feature information of cruise missile such as position and distance by magnetic field disturbances,and establish corresponding mathematical model.Through simulation analysis,the intensity of magnetic field perturbation depends primarily on distances between the measured object and the magnetic detector,size and velocity of the measured object.By Matlab simulation,the function relationship diagram of intensity of the magnetic field disturbance and three parameters is given.Experiment adopts metal column analog proportionally physical process that cruise missiles flying through constant magnetic field,get intensity of magnetic field turbulence under different conditions of different distance,different speed generated from measured metal column,inverses the characteristic information of the measured object.Experiments show that the principle is feasible,detection range and precision can be adjusted according to specific requirements.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".