Emerging Antenna Technologies for Space Applications
Bibliographic record
Abstract
This chapter presents recent advances in integrated mmWon-chip/in-package Si-based active antenna technologies, new substrate integrated planar antenna technologies, microwave/mmW micro-electromechanical systems (MEMS) based techniques, and THz integrated antenna systems will be reviewed along with a comprehensive description of low-cost, high-performance phased-array technology for mobile SATCOM, as an increasingly important case study. The main focus was placed on low-cost technologies that can offer high performance in a compact and reliable package. On-chip antennas provide an exciting opportunity to develop ultra-compact mmWand sub-mmWsystems on-chip and/or inpackage with unmatched performance in terms of conformity and integration with other parts of a complex space system, or as a part of a stand-alone tiny ‘satellite-on-chip’. Cost/size and performance requirements of several space systems, including radio telescopes, space communication and sensing systems, radar, and satellite communications, can be effectively met using compact planar technologies such as SIWand MEMSbased radio front-end and antenna systems. Controlled Vocabulary Terms active antenna arrays; satellite antennas; satellite communication; technology
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.012 |
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".