Journal
OPTICAL ENGINEERING
Volume 50, Issue 3, Pages -Publisher
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.3549903
Keywords
terahertz spectroscopy; mixture; components determination; statistical analysis; micro genetic algorithm
Categories
Funding
- University of Electronic Science and Technology of China (UESTC) [Y02002010801052]
- Fundamental Research Funds for Central Universities [ZYGX2009X013]
- National Natural Science Foundation of China (NSFC) [30872183]
Ask authors/readers for more resources
In public security related applications, many suspicious samples may be a mixture of various chemical components that makes the usual spectral analysis difficult. In this paper, a terahertz spectroscopic statistical analysis method using a microgenetic algorithm (Micro-GA) has been proposed. Various chemical components in the mixture can be identified and the concentration of each component can be estimated based on the known spectral data of the pure chemical components. Five chemical mixtures have been tested using Micro-GA. The simulation results have shown agreement with other analytical methods. It is suggested that Micro-GA has potential applications for terahertz spectral identifications of chemical mixtures. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3549903]
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available