Direction Finding for Unmanned Aerial Systems Using Rhombic Antennas and Amplitude Comparison Monopulse
Bibliographic record
Abstract
The purpose of this thesis is to design an antenna for a UAS (Unmanned Aerial System) comprised of an aircraft and a two channel transceiver/spectrum recording device for a DF (Direction Finding) application with an error of 6.12 degrees or less.The UAS had to work in a bandwidth from 0.6-6 GHz and under the size constraints imposed by the bottom face of the transceiver/spectrum recording device (19.4x32.4cm).Due to the large operating spectrum of the DF UAS and size constraints imposed by the aircraft, a multi-antenna rhombic antenna solution is used.The DF portion of the thesis is done using amplitude comparison monopulse with a 45 degree squint angle.Therefore, the rhombic antenna elements were designed to have a radiation pattern which allowed for this squint angle.Once the requirements were accounted for and simulated, the rhombic antenna elements were built and tested with Carleton University's anechoic chamber.
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.
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) | 0.000 | 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) | 0.002 | 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".