A miniature lumped element LTCC bandpass filter with high stopband attenuation for GPS applications
Bibliographic record
Abstract
We present a new fully embedded low-temperature co-fired ceramic (LTCC) bandpass filter with the highest reported stopband attenuation in its class. The filter occupies only 0.03 λ x 0.05 λ x 0.004 λ of conventional low permittivity LTCC substrate. An advantage of this filter is that it is a true fourth-order design utilizing four multilayer L-C resonators. For the first time, measured results are shown for this novel topology and indicate an insertion loss of 6.7 dB and a return loss of 17.2 dB at the center frequency of 1.64 GHz. The stopband attenuation is greater than 50 dB at frequencies beyond ±300MHz of the passband, making this filter suitable for GPS environments with harsh spectral interference. This is believed to be the highest performing filter, in terms of out of band attenuation, realized in LTCC.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".