Abstract
This letter proposes a novel feature-assisted hybrid space mapping (FAHSM) method to accelerate the optimization of frequency accuracy and quality factor(Q) in a cross-coupled negative-Gm oscillator. The functional partitioning based on circuit features is employed for the full exploitation of the advantages of the space mapping (SM) algorithm. A 2.4-GHz cross-coupled negative-Gm oscillator is implemented on an FR4 board, demonstrating the effectiveness of the FAHSM. © 2026 IEEE.
| Original language | English |
|---|---|
| Journal | IEEE Microwave and Wireless Technology Letters |
| Online published | 2 Jul 2026 |
| DOIs | |
| Publication status | Online published - 2 Jul 2026 |
Funding
This work was supported in part by the Start-Up Grant for Professor (SGP)-CityU SGP, City University of Hong Kong, under Grant 9380170.
Research Keywords
- Cross-coupled negative-Gm oscillator
- feature-assisted hybrid space mapping (FAHSM)
- frequency accuracy
- functional partitioning
- quality factor (Q)
- space mapping (SM)
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