Practical Diversity Design for PCB IoT Terminals
Bibliographic record
Abstract
Mobile or nomadic diversity antennas feature a variety of element types and layouts, mostly PCB-based, reflecting complex design trade-offs between their performance and the required compactness. The design stage is electromagnetic-based but must include several signal-based diversity metrics, and there is a shortfall of information about their assumptions and the impact of their violation. The evaluation stage normally includes simulation, with physical measurements being the bottom line. Pattern measurement is particularly challenging, but accurately measured patterns are critical parameters, enabling the calculation of mean gains and correlations, and the impact of different propagation scenarios. For developers, the complex set of processes for design and evaluation make it difficult to have confidence with their in-house procedures without access to independent results for a variety of antenna types. For the design stage, we review and clarify the diversity metrics, and for evaluation, a set of typical and new diversity designs implemented on printed circuit board (PCB) are also presented. The methods cover lossy antennas and the expected performance in a directional propagation scenario. This information helps designers and developers to better understand the design process and to check their evaluation procedures.
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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".