A linearized wideband low noise amplifier in 65nm CMOS for multi-standard RF communication applications
Bibliographic record
Abstract
In this paper, a wideband low-noise amplifier (LNA) with an improved feedforward distortion cancellation technique is proposed for multi-band and multi-standard RF communication applications. Based on the conventional wideband balun-LNA, the auxiliary path is connected in parallel with the main path to suppress the nonlinearity. The novel topology structure helps implement the scaling factor on the chip without pay extra price. Experimental results have demonstrated a bandwidth of 3.7 GHz bandwidth, a voltage gain of 15 dB, and a noise figure below 6.5 dB in TSMC 65 nm CMOS technology with 1.2 V voltage supply. Moreover, a 3.5 to 7 dB improvement in IIP3 is achieved within the bandwidth in comparison with the conventional LNA.
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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 | 0.001 | 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".