A 24–40-GHz Broadband Beamforming TRX Front-End IC With Unified Phase and Gain Control for Multiband Phased Array Systems
Bibliographic record
Abstract
This article presents a 24–40-GHz broadband beamforming transmit–receive (T/R) front-end (FE) chip for the next-generation millimeter-wave (mm-wave) communication systems. To achieve multiband coverage in a single beamforming front-end IC, the proposed beamforming chip adopts a unified gain and phase control scheme as well as an asymmetric T/R switch circuit, which simplifies the system design and enables broadband operation in both directions. The vector-modulation-based unified phase and gain control (UPGC) scheme eliminates the standalone variable gain amplifier (VGA) in the front end. The bidirectional impedance transformation T/R switch reduces the insertion loss in the TX path and enables Class-F$^{-1}$operation to improve the bandwidth and efficiency. Based on the proposed UPGC scheme and T/R switch circuit, a high-performance mm-wave front-end chip is implemented using a 0.13-$\mu$m SiGe BiCMOS technology. The fabricated front-end chip achieves 12.9–16.9-dBm maximum output power in TX mode, up to 14.3-dB gain and 7.4–9.2-dB noise figure (NF) in RX mode over the frequency range of 24–40 GHz. In both TX and RX modes, the proposed chip achieved less than 0.4-dB rms gain error and 2.0$^{\circ}$rms phase error. A four-element dual-band phased array module is designed and tested to evaluate the performance of the proposed chip in the 28-and 38-GHz dual-band phased array.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".