TY - JOUR
T1 - Agent identification using a sparse Bayesian model
AU - Duan, Huiping
AU - Li, Hongbin
AU - Xie, Jing
AU - Panikov, Nicolai S.
AU - Cui, Hong Liang
PY - 2011
Y1 - 2011
N2 - Identifying agents in a linear mixture is a fundamental problem in spectral sensing applications including chemical and biological agent identification. In general, the size of the spectral signature library is usually much larger than the number of agents really present. Based on this fact, the sparsity of the mixing coefficient vector can be utilized to help improve the identification performance. In this paper, we propose a new agent identification method by using a sparse Bayesian model. The proposed iterative algorithm takes into account the nonnegativity of the abundance fractions and is proved to be convergent. Numerical studies with a set of ultraviolet (UV) to infrared (IR) spectra are carried out for demonstration. The effect of the signature mismatch is also studied using a group of terahertz (THz) spectra.
AB - Identifying agents in a linear mixture is a fundamental problem in spectral sensing applications including chemical and biological agent identification. In general, the size of the spectral signature library is usually much larger than the number of agents really present. Based on this fact, the sparsity of the mixing coefficient vector can be utilized to help improve the identification performance. In this paper, we propose a new agent identification method by using a sparse Bayesian model. The proposed iterative algorithm takes into account the nonnegativity of the abundance fractions and is proved to be convergent. Numerical studies with a set of ultraviolet (UV) to infrared (IR) spectra are carried out for demonstration. The effect of the signature mismatch is also studied using a group of terahertz (THz) spectra.
KW - Agent identification
KW - false alarm
KW - linear mixture
KW - mismatch
KW - signature
KW - sparse Bayesian model
KW - spectral sensing
UR - http://www.scopus.com/inward/record.url?scp=80052079814&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052079814&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2011.2130521
DO - 10.1109/JSEN.2011.2130521
M3 - Article
AN - SCOPUS:80052079814
SN - 1530-437X
VL - 11
SP - 2556
EP - 2564
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 10
M1 - 5735153
ER -