Cooperative Interferometric Receiver With Time-Agile Radar Sensing and Radio Communication Capability
Bibliographic record
Abstract
A cooperative radar-communication (RadCom) system architecture employing a multiport interferometer receiver is introduced and demonstrated for low-power and low-cost multifunction wireless applications. The proposed system operates in both radar sensing and radio communication modes, which are arranged in different time slots within a single hardware platform. In the radar sensing cycle, a triangular frequency-modulated continuous-wave (FMCW) scheme is adopted for distance and velocity measurements. The radio cycle following the radar sensing cycle is used to communicate beat frequency information among different measurement stations for a cooperative radar operation, which can also be used for other data transmissions. The interferometric receiver for a unified multifunction operation benefits from the cooperative approach as it does not require a receiver front-end with a high dynamic range. The receiver architecture also makes use of a balanced detection scheme to suppress the frequency mixing components generated between radar echoes and cooperative radar responses, which eliminates undesired interferences and false targets as well as to enhance the signal quality. A mathematical model of the proposed sensing system is derived to design and implement the system for operation in a multistation environment. The system performance consisting of two stations in a low microwave frequency band has been established and evaluated for both modes with several experiments. In radar sensing mode, the distance and velocity measurements demonstrate the target finding capability of our proposed system. In radio mode, the demodulation of various digitally modulated signals has been successfully studied at different data rates.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".