Fractional-delay sequential blind beamforming for wireless multipath communications in confined areas
Bibliographic record
Abstract
This paper presents a new adaptive antenna-array beamforming receiver for multipath correlated signals in hostile environments, such as indoor confined or underground areas, where intersymbol interference (ISI) and intrasymbol interference (isi) are predominant. The proposed receiver uses a new synchronization approach for multipath propagation and is based on sequential blind CMA and nested LMS beamformings with adaptive fractional-time-delay estimation. This approach uses on one hand CMA and LMS to recover any time path arrival (TPA) that is an integer multiple of the sampling interval, and nested adaptive fractional time delay estimation with LMS on the other hand to recover any TPA that is a non-integer multiple of the sampling interval. Coherent Maximum Ratio Combining (MRC) with hard Decision Feedback Identification (DPI) is also proposed for optimal and constructive combination of these different extracted paths. Analysis and results show the promising performance of the new adaptive antenna-array structure for different operating conditions and modulation schemes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".