Unified Integration of Self-Oscillating Mixer-Antenna for Compact Receiver Frontend
Bibliographic record
Abstract
A method of integration for unifying active device and receiving antenna to realize a low-loss and compact single-ended self-oscillating mixer-antenna (SOMA) frontend is proposed in this work, through an experimental prototype demonstrated over X-band. Stability analysis of the active device is performed first, and a shorted microstrip line is then used as a source feedback to destabilize it. Subsequently, rectangular patch antenna impedance behavior is studied, and eventually designed to satisfy the oscillation requirement at LO frequency of 10.8 GHz, and also to exhibit stability and good radiation performance at RF frequency of 10 GHz. Dual band microstrip matching network is designed for simultaneously satisfying the oscillation condition at LO and the impedance matching at IF for measurements. It is observed experimentally that the oscillation occurs at LO frequency of 10.86 GHz. Subsequently, a 10 GHz RF input signal is fed, which results in a self-oscillating mixer configuration with an IF signal of 0.86 GHz at the output. From measurements, the proposed SOMA exhibits a conversion gain of 10 dB, and input power 1-dB compression point of -10 dBm.
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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".