Bibliographic record
Abstract
Efficient detection of the ultra-wideband(UWB) pulses used in pulse-position-modulationcommunicationlinks is a challenge due to the combinationof a significant level of multipath spreading encounteredin indoor wireless channels and the wide bandwidth of the transmitted pulses. If a conventionalrake receiver is used, then a large number of fingers are requiredto capture the pulse energy; this represents a formidable implementationchallenge due to the intensive signal processingrequired. To mitigate the problem, a rakereceiver based on uniformsampling and single-bitsampling quantizationis proposed. This approach significantly reduces the complexity and processing requirements, so that a large number of rake fingers can be efficiently implemented. The architecture and processing of the proposed receiver, denoted as the single-bit rake (SBR), are described in this paper. A comparative performance analysis of the SBR relative to a conventional rake is also given. As shown in this paper, if the transmitted ultra-wideband pulses are resolvable after passing through the multipath propagation channel, then the penalty of using single-bit quantization is limited to dB compared to a conventional rake receiver with no quantization distortion. For typical indoor wireless propagation channels it is shown that this penalty can typically be avoided by using more rake fingers. However, this incremental processing is relatively insignificant, as uniform single-bit quantization is used. The paper presents further analysis for cases in which the multipath delay spreading is so large that successive UWB pulses significantly overlap. A comparison of the SBR and conventionalrakes in terms of power consumptionand complexityis also given, demonstratingthe advantage of the SBR architecture.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".