A Low-Voltage SiGe BiCMOS 77-GHz Automotive Radar Chipset
Bibliographic record
Abstract
This paper presents a complete 2.5-V 77-GHz chipset for Doppler radar and imaging applications fabricated in SiGe HBT and SiGe BiCMOS technologies. The chipset includes a 123-mW single-chip receiver with 24-dB gain and an IP1dBof -21.7 dBm at 76-GHz local oscillator (LO) and 77-GHz RF, 4.8-dB double-sideband noise figure at 76-GHz LO and 1-GHz IF, and worst case -98.5 dBc/Hz phase noise at 1-MHz offset over the entire voltage-controlled oscillator tuning range at room temperature. Monolithic spiral inductors and transformers result in a receiver core area of 450 mum times 280 mum. For integration of an entire 77-GHz transceiver, a power amplifier with 19-dB gain, +14.5-dBm saturated output power, and 15.7% power-added efficiency is demonstrated. Frequency divider topologies for 2.5-V operation are investigated and measurement results show a 105-GHz static frequency divider consuming 75 mW, and a 107-GHz Miller divider consuming 33 mW. Measurements on all circuits confirm operation up to 100degC. Low-power low-noise design techniques for each circuit block are discussed.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".