A Wideband Low-Power Current-Reuse RF-to-BB Receiver Using a Clock Strategy Technique
Bibliographic record
Abstract
A wideband and low-power RF-to-baseband (BB) current-reuse receiver (CRR) front-end that employs a clock strategy is proposed to support software-defined radios (SDRs). It includes a capacitively cross-coupled common-gate low noise transconductance amplifier (LNTA) to amplify and convert the RF voltage to a current, a passive mixer to down-convert the RF current at 4 × the local-oscillator (LO) frequency to the intermediate frequency (IF) current using a clock strategy, an active-inductor (AI) technique to improve the noise-figure (NF) performance, and a transimpedance amplifier (TIA) to convert the IF current to a voltage at the output. To achieve low power consumption the receiver features: current-reuse between the LNTA and the BB circuits; current-mode harmonic recombination at the output of the passive mixer; and a clock strategy to reduce the dynamic power consumption of the clock generation for the dividers and the LO buffers. The proposed receiver is implemented in 22-nm CMOS technology and occupies an active area of 0.13mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . In the nominal condition, at an IF of 10MHz and an RF of 2.4GHz, it achieves a voltage gain of 36dB, a double-sideband (DSB) noise figure (NF) of 5.2dB, S <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</inf> of less than −10dB and an IIP3 of −18.5dBm while consuming 2.44mA from a 1.2V supply voltage.
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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) | 0.001 | 0.001 |
| 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 | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".