Detection and localization of a moving biochemical source in a semi-infinite medium

Tong Zhao; Arye Nehorai

Detection and localization of a moving biochemical source in a semi-infinite medium

Tong Zhao, Arye Nehorai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 Cramér-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.

Original language	English
Title of host publication	2004 Sensor Array and Multichannel Signal Processing Workshop
Pages	30-37
Number of pages	8
State	Published - 2004
Event	2004 Sensor Array and Multichannel Signal Processing Workshop - Barcelona, Spain Duration: Jul 18 2004 → Jul 21 2004

Publication series

Name	2004 Sensor Array and Multichannel Signal Processing Workshop

Conference

Conference	2004 Sensor Array and Multichannel Signal Processing Workshop
Country/Territory	Spain
City	Barcelona
Period	07/18/04 → 07/21/04

Cite this

@inproceedings{32cdf8bbd4884456b9020a693e1b62e8,

title = "Detection and localization of a moving biochemical source in a semi-infinite medium",

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 Cram{\'e}r-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.",

author = "Tong Zhao and Arye Nehorai",

year = "2004",

language = "English",

isbn = "0780385454",

series = "2004 Sensor Array and Multichannel Signal Processing Workshop",

pages = "30--37",

booktitle = "2004 Sensor Array and Multichannel Signal Processing Workshop",

note = "2004 Sensor Array and Multichannel Signal Processing Workshop ; Conference date: 18-07-2004 Through 21-07-2004",

}

TY - GEN

T1 - Detection and localization of a moving biochemical source in a semi-infinite medium

AU - Zhao, Tong

AU - Nehorai, Arye

PY - 2004

Y1 - 2004

N2 - 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 Cramér-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.

AB - 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 Cramér-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.

UR - http://www.scopus.com/inward/record.url?scp=28244439844&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:28244439844

SN - 0780385454

SN - 9780780385450

T3 - 2004 Sensor Array and Multichannel Signal Processing Workshop

SP - 30

EP - 37

BT - 2004 Sensor Array and Multichannel Signal Processing Workshop

T2 - 2004 Sensor Array and Multichannel Signal Processing Workshop

Y2 - 18 July 2004 through 21 July 2004

ER -

Detection and localization of a moving biochemical source in a semi-infinite medium

Abstract

Publication series

Conference

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