3-D Pseudo-Noise Interferometry for a Novel Bistatic Aperture Lidar
Bibliographic record
Abstract
We reported an unconventional coherent Pseudo-Noise (PN) interferometry with true 3-D lidar imaging capability by recording multiple fast-time acquisition for parallel 2-D ranging while achieving azimuth compression for the third dimension without using a filled aperture. Two transmitters broadcast the same but mutually time-delayed Binary Phase Shift Keyed (BPSK) PN-code riding on shifted RF carrier frequencies to track the quadratic phase trajectory of the target in azimuth using synthetic wavelength. The range/cross-range is obtained while two time-delayed backscattered BPSK signals interfere at the receiver through code-multiplexing of the interferometric PN-modulation that encodes time-difference-of-arrival (TDOA) and time-of-flight (TOF) delay in parallel using the shift-and-add property of the maximum-length (ML) sequences. The simulation and proof-of-concept experiment demonstrate synthetic aperture (SA) imaging in azimuth dimension in addition to the 2-D parallel ranging from the PN interferometry.
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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".