Blocker-Tolerant Inductor-Less Harmonic Selection Wideband Receiver Front-End for 5G Applications
Bibliographic record
Abstract
A blocker-tolerant harmonic selection receiver front-end with RF bandwidth of 6.5 GHz to support the fifth-generation (5G) sub-6 GHz band is presented. The proposed N-path switching filter-based receiver employs harmonic recombination blocks at the baseband (BB) to select the desired local oscillator (LO) harmonics and suppress blockers. It is demonstrated how the configuration of two feed-forward N-path switching filters and BB harmonic recombination stage can be reconfigured to select the first harmonic of the switching frequency at the low-frequency band (0.5–1.9 GHz) and the third LO harmonic at the high-frequency band (1.95–6 GHz). Thus, the proposed architecture has the capability of supporting an RF input frequency of up to 6 GHz while the switching frequency operates up to 2 GHz. Higher harmonic selection in addition to the fundamental helps to reduce the power consumption and required input frequency of the multiphase LO clock generator. An RF receiver prototype is fabricated in a TSMC 130-nm CMOS technology. It achieves a 5 dB noise figure (NF), −16.6 dBm in-band input-referred third-order intercept point (IIP3), and 9 dBm out-of-band (OOB) IIP3, respectively, at the low-frequency band (0.5–1.9 GHz). The 2nd–5th harmonic rejection ratios (HRRs) are higher than 44 dB without any calibration. The receiver can tolerate a 0 dBm blocker at a 180 MHz offset from a 1 GHz switching frequency with an NF of 9.4 dB. Over the high-frequency band (1.95–6 GHz), the receiver’s NF is less than 7.1 dB. Moreover, in-band IIP3, OOB IIP3, and first HRR are higher than −21 dBm, 7 dBm, and 39 dB, respectively. The receiver achieves an S11 better than −10 dB over 0.5–6 GHz, and has a total power consumption of 17–22.5 mW from a 1.2 V 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) | 0.003 | 0.003 |
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".