Evaluation of (GPS/GLONASS) Patch Versus RF GPS (L1) Patchantenna Performance Parameter
Bibliographic record
Abstract
In any wireless communication network and system an antenna is an important element along the pathway and/or propagation path of an electrical signals.An addition, antenna module is a vital component of automated driving systems, it should function as needed in dGPS, HD map correction services, and radio and navigation systems.The main scope, objective and goal of this engineering research work involves the evaluation and determining the performance parameter and characteristic of the dual band (GPS/GLONASS) patch vs RF GPS L1(1.57542GHz) passive patch antenna characteristic.FEKO simulation studies are carried out to extensively compare, make an assessment and evaluate the characteristic and performance parameter, such as the average gain and/or passive gain of the proposed antenna in the presence of background noise.Prior to the start of the FEKO simulation studies, a physical mechanical dimension measurements via a Digital instrumentation were conducted for the following: Radiating Element Size: The actual length (L), and width (W) Substrate Material Size: The substrate length (Lsub), width (Wsub), and height (h) The proposed antenna model for GPS only patch antenna operating at 1.57542 GHz and the GPS/GLONASS patch antenna resonating at 1.5925 GHz are developed.To be specific, this work presents the design, modeling, determining passive gain of the RF GPS L1 passive patch vs. active GPS/GLONAS Spatch antenna with intended targeted applications within the automotive system and space.Simulation are undertaken to generate the RF GPS L1 passive patch and active GPS/GLONASS patch antenna structure respectively for the sole purpose of evaluating the performance of the proposed GPS/GLONASS antenna.Simulation are performed rather than mathematical modeling.The two antennas are also compared from the size standpoint.The goal of this paper is to test, measure and evaluate the performance of GPS against GPS/GLONASS antennas.Another emphasis of this paper is how to obtain the equivalent amount of total passive gain in a GPS vs. that of GPS/GLONASS antenna.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".