Performance Analysis of IEEE 802.15.4a BPSK/BPPM UWB Transmission
Bibliographic record
Abstract
The IEEE 802.15.4a standard uses coded impulse-radio ultra-wideband (UWB) transmission with combined binary phase-shift keying/binary pulse-position modulation (BPSK/BPPM) and direct-sequence spreading with time hopping as physical layer. In this paper, semi-analytical expressions are derived to evaluate the bit-error rate (BER) performance for such a UWB system. Thereby, two different methods for generating reliability information (i.e., decoding metrics) for decoding of the convolutional code at the receiver, the use of time-varying spreading sequences, and suboptimal multipath combining employing a selective RAKE (SRAKE) front-end are included in the analysis. The presented numerical results show that (i) the devised BER approximations are very tight over a wide range of BERs, (ii) symbol-wise metrics are clearly advantageous over bit-wise metrics for decoding, and (iii) SRAKE combining with about 5-10 fingers is sufficient to closely approach the optimal performance for highly dispersive UWB transmission channels.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".