Title :
Adaptive classification of interfering signals in a shared radio frequency environment
Author :
Ramaswamy, Ganesh N.
Author_Institution :
Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
In a shared radio frequency environment, several intentional and unintentional transmitters are expected to co-exist. Hence, the ability to identify the source of an arbitrary interfering signal, using an automated diagnostic tool, is desirable. This paper describes the development of a scheme that can be used to construct such a diagnostic tool
Keywords :
adaptive systems; feature extraction; radiofrequency interference; signal processing; adaptive signal classification; arbitrary interfering signal; automated diagnostic tool; feature extraction; shared radio frequency environment; Authorization; FCC; Indoor radio communication; Interference; Libraries; Pattern classification; RF signals; Radio frequency; Radiofrequency identification; Signal processing;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 1992. Proceedings, PIMRC '92., Third IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-0841-7
DOI :
10.1109/PIMRC.1992.279867
