DocumentCode
3376250
Title
Sensor technologies for hunting buried sea mines
Author
Clem, Ted R.
Author_Institution
Naval Surface Warfare Center Coastal Syst. Station, Panama City, FL, USA
Volume
1
fYear
2002
fDate
29-31 Oct. 2002
Firstpage
452
Abstract
Conventional high frequency sonars may be ineffective in the detection and classification of buried sea mines. Hence new approaches are required to address this problem. Under the magnetic and acoustic detection of mines (MADOM) advanced technology demonstration in 1990, the fusion of low-frequency imaging sonars and magnetic sensors was introduced and successfully demonstrated to provide detection and classification capabilities against buried mines. In February 2002, the Office of Naval Research initiated a project to provide a deliberate capability for hunting buried sea mines. Recent developments in acoustic and electromagnetic sensor technology, signal processing, and data fusion are being pursued. Objectives and approaches for this buried minehunting (BMH) project are described. The new sensor technologies and system concepts that have evolved since MADOM are discussed. Plans to test and demonstrate these technologies and concepts are presented.
Keywords
buried object detection; magnetic sensors; military equipment; military systems; sensor fusion; sonar detection; sonar imaging; sonar target recognition; synthetic aperture sonar; technological forecasting; acoustic detection; acoustic sensors; buried minehunting project; buried sea mine hunting; data fusion; electromagnetic sensors; high frequency sonars; low-frequency imaging sonar; magnetic detection; magnetic sensors; sensor technologies; sidescan synthetic aperture sonar; signal processing; Acoustic imaging; Acoustic sensors; Acoustic signal detection; Acoustic signal processing; Acoustic testing; Frequency; Magnetic sensors; Sensor fusion; Sensor systems; Sonar detection;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS '02 MTS/IEEE
Print_ISBN
0-7803-7534-3
Type
conf
DOI
10.1109/OCEANS.2002.1193312
Filename
1193312
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