Low‐power multi‐band injection‐locked wireless receiver in 0.13 <i>μ</i> m CMOS
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Bibliographic record
Abstract
Abstract The design and analysis of a low‐power multi‐band injection‐locked wireless receiver, implemented in complementary metal–oxide–semiconductor (CMOS) 130 nm technology, for wireless sensor network (WSN) applications are presented. The proposed receiver composed of an injection‐locked oscillator (ILO), low‐noise amplifier (LNA), and an envelope detector utilizes non‐coherent detection based on the frequency‐to‐amplitude conversion property of the injection‐locking phenomena. A lock range enhancement method is proposed through analytically and numerically determining the optimum biasing point of the injection transistor. The lock range of divide‐by‐4 super‐harmonic injection‐locking dictated by the third‐order non‐linear coefficient of the injection transistor is first investigated. The receiver applies divide‐by‐4, divide‐by‐2, and fundamental injection to demodulate the frequency‐shift‐key (FSK) and ON/OFF‐key (OOK) modulated signals from 433, 860–868, 902–928, 950–956, and 2360–2400 MHz frequency bands while keeping the power consumption in sub‐mW range. Post‐layout simulation results demonstrate that the proposed design achieves a maximum data rate of 5 Mbps for both FSK and OOK signals. With two modes of operation (high‐band and low‐band), the receiver consumes 762 and 675 μ W of static power from a 0.7 V supply, achieving a sensitivity of −77 and −70 dBm at BER of 2 × 10 −3 . The FOMs for each mode are 152 and 135 pJ/b, respectively.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it