A compressed sensing receiver for bursty communication with UWB Impulse Radio
Bibliographic record
Abstract
We propose a novel receiver for ultra-wideband impulse-radio communication in bursty applications like wireless sensor networks. It is based on the principle of compressed sensing, and exploits the sparsity of the transmitted signal to achieve reliable demodulation. Instead of a full-fledged high-rate A/D, a modest number of projections of the received signal are acquired using analog correlators, and a joint decoding of the time of arrival and the data bits is performed from these under-sampled measurements via an efficient quadratic program. The receiver does not use wideband analog delay lines, and is robust to large timing uncertainty, hence the transmitter need not waste power on explicit training headers for timing synchronization. Moreover, the receiver can operate in a regime of heavy inter-symbol interference (ISI), and allows a very high baud rate (close to the Nyquist rate). Its performance is shown to remain close to the maximum likelihood receiver under every scenario of under-sampling, timing uncertainty, ISI, and delay spread.
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".