Channel Estimation for Filtered OFDM Transceiver Systems
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Bibliographic record
Abstract
The advantages of filtered orthogonal frequency division multiplexing (f-OFDM) over conventional OFDM, universally filtered multicarrier (UFMC) and filter bank multi-carrier (FBMC) techniques have made it a prominent choice for the future generations of wireless networks. Nevertheless, due to its backward compatibility, the specific task of channel estimation for f-OFDM systems has not yet been addressed; although, due to the difference in the signal model, by doing so one might achieve improvements in the performance or spectral efficiency of the system. We develop a pilot-aided channel estimation scheme for f-OFDM with no or minimal cyclic prefix (CP) based on the statistical properties of the interference, i.e. inter-symbol interference (ISI), inter-carrier interference (ICI), adjacent-carrier interference (ACI) and noise terms. We demonstrate the possibility to shorten or totally remove the CP from the f-OFDM transceiver while applying a one-tap-per-subcarrier equalizer and maintaining the performance and complexity of the transceiver system satisfactory. We propose a pilot-based least square (LS) estimator and an average-taking modified variant of it that perform very close to the perfect channel and outperform a pilot-to-pilot interpolation-based channel estimator in BER simulations.
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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