Title :
Detection and localization of a moving biochemical source in a semi-infinite medium
Author :
Zhao, Tong ; Nehorai, Arye
Author_Institution :
Electr. & Comput. Eng. Dept., Illinois Univ., Chicago, IL, USA
Abstract :
We develop methods for detecting and localizing a moving biochemical source in a semi-infinite medium (e.g., in air above the ground) using sensor array measurements. Potential applications include security, environmental monitoring, pollution control, and explosives detection. We derive models for the source substance concentration diffusion under different boundaries and environment conditions. A maximum likelihood estimation algorithm to localize the moving source is presented and its performance is analyzed by the Cramer-Rao bound. We derive two detectors (generalized likelihood ratio test as well as a mean-difference detector) and determine their performances in terms of the probabilities of false alarm and detection. Numerical examples illustrate the source diffusion model and the performances of the proposed methods.
Keywords :
array signal processing; environmental management; maximum likelihood estimation; pollution control; probability; telecommunication security; Cramer-Rao bound; biochemical source detection; concentration diffusion; environmental monitoring; explosives detection; false alarm probability; maximum likelihood estimation algorithm; moving biochemical source localization; pollution control; security; semiinfinite medium; sensor array measurement; Algorithm design and analysis; Biosensors; Detectors; Explosives; Maximum likelihood estimation; Performance analysis; Pollution control; Pollution measurement; Security; Sensor arrays;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2004
Print_ISBN :
0-7803-8545-4
DOI :
10.1109/SAM.2004.1502904