Microwave Photonic Distributed Radar System for Target Positioning Based on Joint Polarization and Sideband Multiplexing
Bibliographic record
Abstract
We propose and demonstrate a microwave photonic distributed radar system for target positioning based on joint polarization and sideband multiplexing to enable four radar transceivers to share a single optical wavelength. The system consists of an indoor unit and an outdoor unit with four transceivers. The indoor unit is responsible for the generation of a linearly frequency-modulated (LFM) optical waveform which is split and sent via optical fibers to the four individual radar transceivers at the outdoor unit. After photodetection at the transceivers, four LFM microwave waveforms are generated and transmitted. When reflected by a target, four echo signals are received which are polarization and sideband multiplexed and transmitted back to the indoor unit. At the indoor unit, the multiplexed optical signal is demultiplexed and undergoes a photonic de-chirp process. The time delays are estimated by measuring the frequencies of the de-chirped signals, which are then used for target positioning. The proposed radar system is validated through a 3-D spatial target positioning experiment. The results show that the system can locate a target with a spatial positioning accuracy within ±3 cm.
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".