Spectrum monitoring with unmanned aerial vehicle carrying a receiver based on the core technology of cognitive radio – A software-defined radio design
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
In this paper, we design and make a prototype of an aerial spectrum monitoring system that consists of a ground control station and a four-rotor unmanned aerial vehicle (UAV). This UAV carries a software-defined radio (SDR) receiver to perform spectrum monitoring tasks, including signal strength, frequency occupancy, and signal analysis. A light and low-cost SDR-based dongle consisting of RTL2832U chip and R820T tuner is employed as the monitoring receiver. A global positioning system and an electronic compass system are built on board to report the UAV’s position and direction. The open-source development platform GNU Radio is employed to design the radio monitoring system through the use of software-defined blocks. The proposed aerial monitoring system can detect radio signals in the frequency range of 25–1700 MHz that in practice covers the FM and DVB bands. With the prototype monitoring system, we have performed a few measurement tasks, including signal strength, waterfall display, and demodulation for identifying FM stations. Our proposed aerial monitoring system is more cost-effective than land-vehicle monitoring stations because of its much more flexible implementation.
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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 | 0.001 | 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