Optimized Parallel and Serial Array Antenna Design for X-Band Aviation Radar Sensors
Bibliographic record
Abstract
This paper aims to devise an antenna structure tailored for seamless integration into aviation radar sensors. The primary design objectives entail the creation of an antenna resonating within the X-band frequency range, spanning from 8 GHz to 12 GHz, with a central frequency of 9.79 GHz, while prioritizing portability. A meticulously dimensioned unit cell is engineered to achieve these specifications, resulting in an antenna design operating at 10.36 GHz. Key parameters including S11, Gain, Efficiency, and Radiation characteristics are meticulously assessed. Subsequently, these unit cells are arranged in serial and parallel configurations and analyzed across various metrics. Noteworthy findings reveal that the parallel array design exhibits superior radiation performance at 10.3 GHz. In contrast, the serial array configuration demonstrates enhanced attributes, including higher gain and improved S-parameter characteristics, particularly at 10.8 GHz. The input impedances were readily adjusted to match 50-ohm feedlines. The antenna design leverages dielectric materials such as Duriod for the substrate and copper for the patch and ground components. Specifically, the Duriod substrate boasts a dielectric coefficient of 2.2, with a substrate thickness of 1.57 and a copper thickness of ${0. 0 3 5}$. This investigation underscores the efficacy of the serial array antenna design, highlighting its potential for optimal performance in aviation radar sensor applications..
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".