Robust DVB-T/H Receiver in Fast Fading Channels
Bibliographic record
Abstract
We previously proposed an iterative decision-directed channel estimation and inter-carrier interference (ICI) cancellation (IDD-ICICan) technique based on estimating the diagonal and off-diagonal vectors of the channel frequency response matrix (CFRM) of a double-selective fading channel. In this paper, we first present some new theoretical analysis that is missing from the previous investigation, including the correlation property within each off-diagonal vectors of the CFRM, and the derivation of the constant scaling relation between different off-diagonal vectors. An enhanced IDD-ICICan (EIDD-ICICan) is then proposed for better performance. At last, we report the simulation performance of a Digital Video Broadcasting (DVB) receiver equipped with the EIDD-ICICan, demonstrating its robust performance even in very fast fading channels. In addition, we show that the superior performance is achieved with well affordable complexity.
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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 | 0.000 | 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 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".