DocumentCode :
3363517
Title :
Signal classification and cognitive sensor network
Author :
Wei Su
Author_Institution :
Commun. Electron. RD&E Center, US Army, Fort Monmouth, NJ
fYear :
2009
fDate :
26-29 March 2009
Firstpage :
2
Lastpage :
2
Abstract :
Signal classification is an important subject for military radio communications. With the revolution of digitizing communications ever closer to the antenna, commercial cognitive radios with programmable modulation schemes and adaptive transmission rates have become a practical wireless communication platform. Signal classification techniques have attracted much attention recently by the cognitive network applications in developing the next generation radio receivers and sensor networks with built-in automatic signal detection and classification capabilities. However, the technical expectations and goals in commercial applications are quite different with that in military communication systems. A key research area is to develop new algorithms with the low-cost real-time adaptive demodulation capability. An overview of automatic signal classification techniques and the challenges in migrating current signal classification methods into the cognitive radios and sensor network will be discussed.
Keywords :
adaptive modulation; cognitive radio; demodulation; military communication; signal classification; wireless sensor networks; adaptive demodulation; adaptive transmission rate; cognitive radio; cognitive sensor network; military radio communication; programmable modulation scheme; signal classification; wireless communication; Adaptive arrays; Cognitive radio; Digital modulation; Military communication; Modulation coding; Next generation networking; Pattern classification; Radio communication; Transmitting antennas; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2009. ICNSC '09. International Conference on
Conference_Location :
Okayama
Print_ISBN :
978-1-4244-3491-6
Electronic_ISBN :
978-1-4244-3492-3
Type :
conf
DOI :
10.1109/ICNSC.2009.4919229
Filename :
4919229
Link To Document :
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