DocumentCode
2780466
Title
ISR sensor processing and data exploitation
Author
Martinez, David R.
Author_Institution
ISR Syst. & Technol. Div., MIT Lincoln Lab., Lexington, MA, USA
fYear
2010
fDate
10-14 May 2010
Firstpage
1444
Lastpage
1445
Abstract
Intelligence, Surveillance, and Reconnaissance, commonly abbreviated as ISR, refers to the system of sensors (data collection assets) and data analysis and dissemination resources used to provide information about strategic and tactical threats. The advances in ISR sensor technologies and the large amount of data generated from ISR systems are putting a significant demand on signal processing and data exploitation. For example, an electro-optical system can easily generate several billion bits per second while searching an area the size of a small city. Therefore, onboard front-end signal processing is needed to reduce the amount of information to a manageable size and to make the outputs compatible with existing and future communication links. Similarly, there is increasing interest in allowing data exploitation on board the platforms. This talk will address examples of front-end signal processing, demands in data exploitation, and associated high-performance embedded computing for ISR systems. The discussion will conclude with an emphasis on graph exploitation approaches to address the conversion of sensor information into knowledge that military forces and/or strategic analysts can act on in a timely manner.
Keywords
graph theory; intelligent sensors; radar signal processing; search radar; ISR sensor processing; data analysis; data collection assets; data dissemniation resources; data exploitation; electrooptical system; front-end signal processing; military forces; sensor information; signal processing; Cities and towns; Data analysis; Embedded computing; Information management; Intelligent sensors; Reconnaissance; Sensor systems; Signal generators; Signal processing; Surveillance;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2010 IEEE
Conference_Location
Washington, DC
ISSN
1097-5659
Print_ISBN
978-1-4244-5811-0
Type
conf
DOI
10.1109/RADAR.2010.5494390
Filename
5494390
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