A New Design of a Compact CSRR-Based Microstrip Low-Pass Filter for RF Harvesting Applications
Bibliographic record
Abstract
This work presents the design of a microstrip low-pass filter based on Complementary Split Ring Resonator (CSRR) structure, optimized for association with a rectenna circuit. Efficient filtering is essential for Wireless Power Transfer (WPT) to suppress harmonics and maximize the RF-to-DC conversion efficiency. The proposed filter is mounted on an FR4 substrate ((ε r = 4.4), thickness = 1.6 mm) and optimized using the Moment Method (MoM) and the Finite Integration Technique (FIT).The overall dimensions of the structure are (37.18 mm × 11.3 mm), it ensures low insertion loss and strong harmonic suppression. The simulation results confirm good impedance matching and filtering performance, making this design suitable for rectenna systems that can be inserted into IoT, wireless sensors and remote sensing applications.
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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".