A Noise-Cancelling Harmonic Selection Receiver Using an N-Path Filter for 5G Applications
Bibliographic record
Abstract
A wideband noise-cancelling harmonic rejection (NC-HR) RF receiver using two separate N-path filter-based down-conversion paths is presented to avoid amplification at harmonic blocker frequencies. The proposed harmonic blocker-tolerant architecture suppresses blockers placed at or around integer multiples of the local oscillator (LO) frequency. Moreover, the differential HR N-path switching system with resistive coefficients used in the main down-conversion path allows for the 3 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> harmonic of the LO frequency to be selected, helping to reduce the dynamic power consumption of the multi-phase LO generator by a factor of three. Post-layout simulation results show that the 3.6 -7.2 GHz receiver implemented in a 65 nm CMOS process achieves a harmonic-rejection ratio (HRR) of 56 dB, a noise figure (NF) of less than 2.6 dB at a 130 MHz baseband frequency for a 7.2 GHz RF signal, with a power consumption of 12.6 mW including the LO current.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".