Equalization for 4BOK DS-UWB Systems
Bibliographic record
Abstract
Direct-sequence spreading ultra-wideband (DS-UWB) is a strong contender for the standardization of the physical layer of wireless personal area networks (WPANs) by the IEEE 802.15.3a committee. Since long delay spreads in UWB channels cause significant intersymbol interference, equalization is required at the receiver of DS-UWB systems. In this paper, we investigate equalization for DS-UWB with 4-ary bi-orthogonal keying (4BOK), which is one of the two proposed modulation formats. We first derive the corresponding matched-filter bound (MFB), which is the theoretical performance limit. Considering a new equivalent multiple-input multiple-output (MIMO) description of 4BOK DS-UWB, we then devise linear and nonlinear MIMO equalizers. Furthermore, we propose the application of widely linear (WL) processing to these equalizers. Simulation and semi-analytical results show that the proposed MIMO equalizers allow for power-efficient 4BOK DS-UWB transmission close to the theoretical limits with moderate computational 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 | 0.002 | 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".