Millimeter-Wave Receiver With Non-Uniform Time-Approximation Filter
Bibliographic record
Abstract
This article presents a non-uniform (NU) time-approximation filter (TAF) technique for a wireless receiver (RX) to reject unwanted blockers. The proposed NU TAF leverages the alias-spreading property of NU sampling (NUS) and a TAF that approximates a finite impulse response (FIR) filter response in the time domain, achieving an overall flexible filter response with a higher attenuation factor. The filter response can be readily reconfigured by changing the NU sequence and/or the TAF waveform without adjusting the passive component value. In addition, a quad-switch gated integrator is proposed to significantly reduce the power consumption by sharing the current among the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${G}_{m}$ </tex-math></inline-formula> cells. Detailed theoretical analysis on NU-TAF operation and RX implementation considering circuit non-idealities are provided to explore the design tradeoffs of the proposed techniques. A proof-of-concept millimeter-wave RX is implemented in the 28-nm CMOS process. Thanks to the NU TAF, the RX prototype achieves >45-dB blocker rejection with a 33.7-GHz carrier frequency. The EVM measures −30.9 dB using a 100-MSymbol/s 64-QAM signal in the presence of a 10-dBc out-of-band (OOB) blocker.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".