High-Precision and Resilient-to-Interference Ultrawideband Two-Way-Ranging Based on Clock-Less Active Reflector in 65-nm CMOS
Bibliographic record
Abstract
An impulse-radio ultrawideband (IR-UWB) two-way ranging (TWR) system for indoor and harsh environments is described. In the proposed system, a synchronization (sync) word with a specific sequence of UWB impulses and with a particular pulse-position modulation (PPM) is transmitted from the anchor and then detected by the tag using a continuous-time sync detection mechanism. Then, the tag instantaneously reflects a similar sync-word back to the anchor. Finally, the anchor detects the sync-word using the same continuous-time sync detection mechanism as the tag. The time of flight (ToF) between the transmitted sync and the received sync on the anchor is then calculated to measure the distance between the transmitter and the receiver. Unlike common TWR systems, here in the tag, a clock-less active reflector is used, which reduces sync detection and reply time and, hence, increases the ranging accuracy due to the mitigation of clock drift. To reduce narrowband interference (NBI) and multiuser interference (MUI), the sync-word uses a combination of ON–OFF keying (OOK) and PPM. The proposed sync-word detector continuously verifies the presence of UWB impulses having the correct time intervals. As a proof of concept, a 4-bit sync-word is utilized although the technique can be directly expanded to longer sync-words. The proposed system is fabricated using a 65-nm CMOS integrated circuit technology. Experimental results show the accuracy and resilience-to-interference (NBI and MUI) of the proposed TWR. The technique shows a 1.2-cm standard deviation for the accuracy of a single-measurement TWR in a semiclosed metal box using omnidirectional antennas.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".