Performance of concatenated coded IR-UWB in the presence of multiple-access interference
Bibliographic record
Abstract
Impulse-radio ultra-wideband (IR-UWB) transmission has recently become popular for data communications. In the new IEEE 802.15.4 a standard, IR-UWB modulation is mated with a concatenated coding scheme consisting of a Reed-Solomon and a convolutional encoder. While most of the available literature has been dedicated to the study of uncoded IR-UWB transmission, this paper is concerned with the performance analysis for IEEE 802.15.4 a compliant concatenated coded IR-UWB systems. In particular, a semi-analytical error-rate expressions for coherent RAKE detection with suboptimal multipath combining is presented. While first a single-user channel is assumed, in the second part of this paper this analysis is extended to include the effect of IR-UWB multiple access interference. To this end, a Gilbert-Elliot-type Markov interference model is adapted to the IEEE 802.15.4 a modulation format.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".