Genetic Algorithm Based Optimization for Terahertz Time-Domain Adaptive Sampling
- Resource Type
- Conference
- Authors
- Li, Kaidi; Chen, Xuequan; Shen, Shuaiqi; Zhang, Rui; Liu, Kai; Pickwell-MacPherson, Emma
- Source
- 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), 2019 44th International Conference on. :1-2 Sep, 2019
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Absorption
Genetic algorithms
Geometry
Time-domain analysis
Reflection
Spectroscopy
Standards
- Language
- ISSN
- 2162-2035
We propose an approach based on a genetic algorithm (GA) to improve the sampling efficiency in terahertz time-domain spectroscopy (THz-TDS). The experimental results show that our approach can greatly reduce the sampling time whilst maintain a very high accuracy compared to high-resolution step scanning. Moreover, this approach can be easily implemented in most TDS systems equipped with a delay stage without any hardware cost. The accuracy, flexibility and efficiency indicate great potential for this approach to improve the scanning speed in a wide range of applications.