Low Complexity Acquisition of UWB Telemetry Data Packets with Clock Offset
Bibliographic record
Abstract
In this paper, low complexity acquisition of UWB telemetry data packets is addressed. In addition to the usual channel impairments considered of additive white Gaussian noise (AWGN) noise and multipath, the sensor clock is assumed to be unsynchronized relative to the access node such that there is a random clock offset. The proposed method involves a multi-hypothesis outer search over the arrival time of the packet. For each arrival time hypothesis, a simple and low complexity two-stage practical acquisition algorithm based on dirty template (DT) which is called multi-stage DT (MSDT) is utilized to estimate and extract a template suitable for the data decoding. For this algorithm symbol level (SL) acquisition is achieved first based on symbol-long DT (SLDT). Next, the frame level (FL) acquisition is obtained using frame-long DT (FLDT), which further enhances the acquisition accuracy by employing processing gain within each UWB symbol waveform. Performance of this proposed algorithm is compared to an acquisition algorithm based on single-stage exhaustive search (ES).
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".