Augmented Hammerstein model for six‐port‐based wireless receiver calibration
Bibliographic record
Abstract
An augmented Hammerstein model (AHM) is proposed for the first time to calibrate a six‐port‐based receiver (SPR) and to recover the in‐phase I and the quadrature Q components of a modulated wideband RF signal. The proposed model is intended to provide a good compromise between complexity and accuracy. To verify the performance of the resulting calibration approach, an experimental validation has been performed with an SPR driven by wideband modulated signals with different bandwidths. An error vector magnitude between the transmitted and received signals of 2.17 and 1.33% has been reported for 64‐QAM signals with 4 and 2 MHz bandwidths, respectively. The obtained measurement results have revealed the robustness and the superiority of the AHM‐based single‐step calibration technique compared with the two‐step conventional procedure. Moreover, the AHM achieved the same performance as the published memory polynomial model while requiring ∼60% less coefficients leading to a less complexity calibration procedure with a lower number of calibration parameters and flops.
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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 | 0.000 | 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) | 0.000 | 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".