$Ku$-Band Image Rejection Sliding-IF Transmitter in 0.13-$\mu{\hbox {m}}$ CMOS Process
Bibliographic record
Abstract
The insensitivity to gain and phase mismatches is investigated in a multiband double image rejection transmitter (DIRT). Although a direct in-phase/quadrature (I/Q) modulator architecture is simple, the I/Q gain and phase mismatches directly affect the image rejection ratio (IRR) over the operating frequencies. However, the DIRT has low sensitivity to a small I/Q phase mismatch, while the IRR is predominantly dependent on the IF gain mismatch. Furthermore, there is a region of insensitivity to both gain and phase mismatches in the DIRT. To characterize the mismatch effects of the DIRT, the IRR is theoretically analyzed and simulated at the system level. The proposed DIRT with sliding-IF is implemented on a 0.13-μm CMOS process to prove the insensitivity to the I/Q mismatch effects over 11-15-GHz multiband frequency ranges. For supporting the multiband functionality, frequency dividers-by-4/8/16 are utilized to generate 0.675-, 1.35-, and 2.7-GHz quadrature IF LO signals using 10.8-GHz RF local oscillator (LO) signal. The measurement results show that the in-band image rejection and LO leakage suppression are greater than 48.8 and 43.5 dBc, respectively, over the wideband frequency range. The output referred 1-dB compression point is obtained as high as - 4 dBm with a 1.5-V power supply. A multiband CMOS DIRT operating over <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Ku</i> -band has not been previously reported.
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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 | 0.001 | 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 | 0.000 | 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 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".