A Modular Architecture for Low Cost Phased Array Antenna System for Ka-Band Mobile Satellite Communication
Bibliographic record
Abstract
A low-cost and low profile phased array antenna system based on a modular approach is being developed for Ka-band mobile SATCOM applications. A Transmitter (TX) antenna array has been designed to provide the required circular polarized (CP) radiation beam with sufficient gain and a radiation pattern that satisfies the standard (FCC) emission mask. In the proposed modular approach, the intelligent active phased subarray (module) is designed and used as a building block to construct the whole array in any form and any size in any customized platform. In this design, the size of the intelligent subarray is chosen to be 4×4 with half-wavelength separation between the elements for both TX (30 GHz), and RX (20 GHz) array antennas. Larger array antenna with a few thousands of radiating elements can be formed by assembling as many modules as required on one platform. This paper discusses the modular approach aspects and its application in large scale phased array antenna implementation. Super TX / RX array modules of 256 elements are assembled and tested successfully to validate the proposed modular architecture. The measured radiation patterns at 30/ 20 GHz shows that the antenna's main beam can be steered to ± 70° in both azimuth and elevation directions.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".