Effort-Reduced Calibration of Six-Port Based Receivers for CR/SDR Applications
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Bibliographic record
Abstract
This paper presents an effort-reduced approach for calibrating the reconfigurable six-port based receiver (SPR) systems for cognitive radio/software defined radio applications that accounts for all the known imperfections and impairments of an SPR system. The state-of-the-art calibration method requires estimation of more than 100 calibration parameters on-the-fly. The proposed calibration method reduces the number of parameters to four without any sacrifice in the overall system performance. The proposed method uses a different structure for six-port junction to ease the calibration effort. The nonlinearity and the frequency response of the system are broken down into two different realms. Nonlinearity of the system is accounted for by continuous wave characterization of the diode detectors while the frequency response is compensated for using an equalizer in the calibration step. The results obtained for the proposed approach are compared with the state-of-the-art calibration method. Similar performance from the SPR system is obtained with much reduced calibration complexity.
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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 | 0.000 | 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 it