A Prior-Knowledge-Based Optimization Method for Microwave Sensor Design in Heavy Metals Detection
This paper describes a microwave sensor design optimization method based on prior knowledge for detecting heavy metals. combines prior-knowledge to optimize the structure and size of the microwave sensor simultaneously. In order to verify the detection performance of the microwave sensor optimized by the proposed method for heavy metal ions in liquid, the detection effect of the microwave sensor is verified using liquids containing copper. The results show that the microwave sensor optimized by the proposed method can efficiently identify the heavy metal ions content in the liquid.
Authors
- He Xian
- Peng‐Fei Qin (ORCID: https://orcid.org/0009-0002-8869-4969)
- Xiaoming Chen (ORCID: https://orcid.org/0000-0003-3151-1690)
- Zi‐Yu Pang (ORCID: https://orcid.org/0009-0003-4134-0538)
- Guan‐Long Huang (ORCID: https://orcid.org/0000-0003-2768-8266)
- Jinpeng He (ORCID: https://orcid.org/0000-0003-0651-2659)
- Jiao He (ORCID: https://orcid.org/0000-0002-3756-4358)
- Yi-Min Yu
Institutions
- Foshan University (CN)
- University of Macau (MO)
- Xi'an Jiaotong University (CN)
Publication Details
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1109/iwsa63305.2024.10895073
- Primary Topic
- Geophysical Methods and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Department of Education of Guangdong Province