TY - GEN
T1 - Detection and estimation of biochemical sources in arbitrary 2D environments
AU - Jeremić, Aleksandar
AU - Nehorai, Arye
PY - 2005
Y1 - 2005
N2 - We develop algorithms for biochemical detection and estimation in arbitrary two-dimensional (2D) environments using integrated sensor arrays. The development of biochemical sensors techniques has been a subject of considerable research interest in recent years. In this paper we propose statistical algorithms for automatic monitoring of biochemical agents in a realistically shaped 2D environments using multi-sensor measurements. We derive models for the concentration distribution using the diffusion equation and finite element approximations. Using these results we develop parametric statistical models and maximum likelihood estimation algorithm to find the parameters of the biochemical agent. To detect a presence of the source, we develop a generalized likelihood ratio test. We demonstrate the applicability of our techniques through numerical examples. Our results are potentially useful for national security, environmental engineering, food industry, oil industry etc.
AB - We develop algorithms for biochemical detection and estimation in arbitrary two-dimensional (2D) environments using integrated sensor arrays. The development of biochemical sensors techniques has been a subject of considerable research interest in recent years. In this paper we propose statistical algorithms for automatic monitoring of biochemical agents in a realistically shaped 2D environments using multi-sensor measurements. We derive models for the concentration distribution using the diffusion equation and finite element approximations. Using these results we develop parametric statistical models and maximum likelihood estimation algorithm to find the parameters of the biochemical agent. To detect a presence of the source, we develop a generalized likelihood ratio test. We demonstrate the applicability of our techniques through numerical examples. Our results are potentially useful for national security, environmental engineering, food industry, oil industry etc.
UR - http://www.scopus.com/inward/record.url?scp=33646762507&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2005.1416183
DO - 10.1109/ICASSP.2005.1416183
M3 - Conference contribution
AN - SCOPUS:33646762507
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - IV1013-IV1016
BT - 2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Signal Proces. Education, Spec. Sessions
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -