A Technique to Determine the Designable Inductance Value(s) in Wide-Band CMOS-Amplifier System Employing Shunt-Peaking
Bibliographic record
Abstract
This paper presents a technique towards obtaining an estimate of the value of inductor(s) to expand the bandwidth of operation in a complementary metal-oxide semiconductor (CMOS) amplifier system which exploits shunt peaking principle. The basic principle is placement of the zeros of the transfer function in an interleaved manner relative to the uncompensated RC time-constant frequency (TCF) and the band-edge frequency (BEF) (i.e., product of the poles) of the transfer function. Application of the analytical results has been demonstrated for (i) a common-gate (CG) amplifier stage in a 0.18-μm CMOS process and (ii) an inter-stage inductor coupling network which serves as an interface between two amplifier stages. MATLAB simulation has been used to obtain the range of design inductance values. The TSMC 180-nm CMOS process has been used in Cadence CAD environment to validate the theoretical predictions. The inductors laid out have been modeled using the ASITIC program to obtain more realistic results. The proposed technique provides a bandwidth extension of the CMOS common-gate amplifier from 6.68 GHz to 10.4 GHz with 1 dB peaking using only a 1.85-nH inductor. For the inter-stage coupling network, the suggested design procedure leads to a bandwidth extension ratio (BWER) exceeding three, with less than 3-dB ripple.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".