Localization and Hardware Impairment Compensation Using Orthogonal Time, Frequency, and Space Principles
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Modulation that exploits orthogonality in time, frequency, and space (OTFS) is tolerant of delay and Doppler channel spreads. We exploit this fact to estimate, and hence compensate, hardware impairments that inhibit accurate localization using a single receiver. Our focus is on oscillator imperfections, which manifest as carrier frequency offset (CFO) and sampling frequency offset (SFO). By representing the channel state information (CSI) in the delay-Doppler domain, we show that these impairments are the equivalent of a Doppler shift under OTFS modulation and a Doppler spread under WiFi orthogonal frequency division multiplexing (OFDM). This observation informs a sparse modelling formulation for joint localization and clock error estimation that is readily solved using compressed sensing techniques. Through simulations, we verify that our proposed approach reaches sub-meter accuracy and contrast it to the OFDM-based localization approach.
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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 | 0.000 | 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 it