Multi-Branch Knowledge-Assisted Proximal Policy Optimization for Design of MS-to-MS Vertical Transition with Multi-Layer Pixel Structures
This article proposes a wideband microstrip-to-microstrip vertical transition with multi-layer pixel structures, alongside a multi-branch knowledge-assisted proximal policy optimization (MB-KPPO) method for its automatic design. The proposed transition consists of the three-layer pixel structures with high design degrees of freedom to realize a wide bandwidth. The MB-KPPO adopts a multi-branch policy network instead of a single-branch policy network in the PPO to improve design efficiency. In addition, the MB-KPPO integrates a fully connected shape generation mechanism to incorporate physical requirements. An MS-to-MS vertical multi-layer pixel transition is designed and fabricated by PCB technology. Measurement results show that the multi-layer transition has a frequency range from 3.5 to 17.8 GHz, with a bandwidth that is 25% higher than the single-layer pixel transition towards higher frequencies.
Authors
- Ken Ning (ORCID: https://orcid.org/0000-0003-4643-0180)
- Junfa Mao (ORCID: https://orcid.org/0000-0002-9857-535X)
- Ze-Ming Wu (ORCID: https://orcid.org/0000-0002-5915-3023)
- Rubing Liang (ORCID: https://orcid.org/0000-0003-3750-9882)
- Xiao‐Chun Li (ORCID: https://orcid.org/0000-0003-1455-2095)
- Zheng Li (ORCID: https://orcid.org/0000-0001-8046-9818)
Institutions
- Shenzhen University (CN)
- Shanghai Jiao Tong University (CN)
Publication Details
- Journal
- Electronics
- Published
- 2025-09-19
- DOI
- https://doi.org/10.3390/electronics14183723
- Primary Topic
- Markov Chains and Monte Carlo Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China