Linear FMCW Radar System for Accurate Indoor Localization and Trajectory Detection
Why this work is in the frame
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Bibliographic record
Abstract
The frequency modulated continuous wave (FMCW) radar has been used to determine the position and movements of a target. In this paper, we design a liner FMCW radar-based indoor position system for better target localization and trajectory detection. First, with the received radar signals, we construct a two-dimensional range-Doppler map. Using the map, We extend the one-dimensional constant-false-alarm rate (CFAR) technique into the two-dimensional one and develop a two-dimensional cell-averaging CFAR detector; it effectively eliminates the outliers of the original CFAR results and hence reduces localization error significantly. Finally, we adopt the Kalman filter to optimize the target trajectory. The experimental results are provided and they show that the accuracy of the estimated range is improved by about 38% and 11% in stationary and moving target localization, respectively, as compared with the current detectors.
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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