A full-duplex receiver with 80MHz bandwidth self-interference cancellation circuit using baseband Hilbert transform equalization
Bibliographic record
Abstract
To enable simultaneous full-duplex radios, self-interference (SI) cancellation (SIC) circuits that attain large cancellation bandwidths (BWs) are needed to support modern standards such as Long-Term Evolution (LTE). For mobile applications, SIC should be linear, tunable, fully monolithic (compact form factor) and must be implemented at the radio-frequency (RF) front-end. Emulating the group delay (GD) and complex impedance of the SI channel, an SIC circuit is proposed that achieves an 80 MHz of SIC BW using just a single tap delay. GD is estimated using frequency translations and baseband (BB) low pass filtering, and complex impedance is emulated using a vector modulator (VM). We prove that the combination of GD and VM results in a time-domain Hilbert transform equalization (HTE), enabling broadband cancellation and reducing the number of GD taps needed, thereby saving area. Implementing HTE at BB using passive circuits further reduces area, power consumption and maintains linearity. A prototype in 0.13-µm CMOS process occupies 0.4 mm2and attains 23 dB of SIC measured over an 80-MHz signal BW, while consuming 13 mW. Total power and area including the receiver is 64.4 mW and 0.72mm2, respectively.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".