An Image-Rejection Complex Filter with Low Power Based on Transconductance-Resistance-Capacitance Cells
Bibliographic record
Abstract
A 1st-order transconductance-capacitance-resistance(Gm-R-C) complex filter for image rejection in low-IF wireless sensor network(WSN) receiver is proposed to reduce the power consumption of radio frequency receiver in WSN.The proposed cell adopts two fully differential Gm-cells with low power and R-C loads to perform low-pass filtering for the input I/Q signals,while the frequency translation is realized by two additional differential Gm cells through directly cross-adding relevant currents.Resistive source degeneration is adopted in the Gm cells to improve linearity.Based on the proposed 1st-order cell,a 4th-order Butterworth complex filter with center frequency of 300 kHz and bandwidth of 160 kHz is designed using the 0.35 μm CMOS technology.Simulation results under 1% I/Q mismatch show that the filter achieves an image rejection ratio of 50 dB,an in-band 3rd-order input intercept power of 25.1 mW,a pass-band gain of 18 dB,and an RMS voltage of input referred noise of 35 μV with current consumption of only 760 μA from a 2.7 V supply.All the simulated parameters achieve the system requirements of WSN with low power consumption.
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".