Highly linear reconfigurable mixer designed for environment-aware receiver
Bibliographic record
Abstract
A 4-state, highly linear, reconfigurable mixer is presented in this paper. The proposed mixer is an essential part of the environment-aware receiver, introduced in this article. A set of switches are used in the LO and IF stages of the mixer to digitally tune the linearity of the mixer in exchange for lower power consumption. Three sets of cross-coupled pairs are utilized in the mixer to dynamically inject the proper current into the mixer and improve the linearity of each state of the mixer. The proposed mixer is designed using a standard 130-nm CMOS process. The mixer delivers 10, 6.2, 1.8, and -2.9 dBm of third-order intercept point (IIP3) while the average NF is 9.3 dB and varies only 1 dB in different states. Conversion gain of the mixer varies within 16.8 to 7.8 dB in 0.5 to 7 GHz. The mixer consumes 2.4 to 9.6 mW from a 1.2V supply.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".