Quadrature Harmonic Self-Oscillating Mixer: Toward Large Array Multifunction Receiver Systems
Bibliographic record
Abstract
In this article, a quadrature harmonic self-oscillating mixer (QHSOM) is proposed, studied, and demonstrated for future large array multifunction receivers. Its implementation is based on single-stage direct-conversion harmonic receiver topology. The proposed receiver unit is composed of a pair of harmonic self-oscillating mixers (HSOMs), which are injection-locked through their second oscillation harmonic to generate quadrature phase oscillation and isolate oscillation tanks and suppress crosstalk between quadrature channels. To our best knowledge, the proposed receiver configuration is the most compact standalone quadrature receiver topology realization ever reported so far. Its structural simplicity, in addition to enhanced receiving performance, makes it scalable to millimeter-wave (mmW) large array receiver realizations. Besides, substantiated capabilities of communication and radar/sensing accompanied by operation status flexibility within an array make it an appealing candidate for integrated multifunction systems. Transmission and demodulation of digital modulated signals (M-QAM) at third-harmonic mixing is successfully demonstrated for the proof-of-concept (PoC). Simulation and measurement results are set to confirm the feasibility and viability of the proposed quadrature receiver.
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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) | 0.000 | 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 | 0.000 |
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 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".