Increasing Power Transmission in Compact Low-Frequency Antenna Arrays through Active Negative Impedance Conversion
Bibliographic record
Abstract
The paper proposes a solution to the challenges of using electrically small array antennas in the UHF band for WPT, explicitly addressing issues with radiation efficiency and beamforming accuracy. Mutual coupling between array elements causes undesired impedance, reducing the antenna’s quality factor (QF) and increasing reactance, restricting effective farfield radiation. The paper introduces a negative impedance active matching method to mitigate these effects. Negative impedance converter (NIC) circuits are integrated into the design to enhance the fractional bandwidth by canceling the input impedance across the frequency spectrum. Specifically, an open-circuit stable (OCS) balanced load NIC is used in series with a compact 2×1 microstrip antenna array as power transmission to minimize mutual coupling and improve the electrical wireless power’s bandwidth and transmission factor. Experimental results show a 30 dB reduction in mutual coupling at lower VHF frequencies and a 12 dB gain improvement over a 200 MHz bandwidth, demonstrating the effectiveness of the NIC circuit in enhancing both the performance and efficiency of the 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".