DocumentCode :
2831191
Title :
Radar target classification using intelligent cerebellar model articulation controller
Author :
Lin, Chih-Min ; Hung, Wei-ting
Author_Institution :
Dept. of Electr. Eng., Yuan Ze Univ., Chungli, Taiwan
fYear :
2012
fDate :
June 30 2012-July 2 2012
Firstpage :
45
Lastpage :
49
Abstract :
This paper proposed a radar emitter identification method based on cerebellar model articulation controller(CMAC), the controller inputs are radar emitter´s characteristic like radio frequency(RF), pulse repetition interval(PRI) and pulse width(PW) etc. The CMAC has to train to be by training data. After training, input the unknown radar characteristic, the network may appropriately identify the emitter types. The simulation results show that CMAC can quickly and accurately classify and identify the emitter types.
Keywords :
cerebellar model arithmetic computers; radar computing; radar signal processing; signal classification; CMAC; PRI; PW; RF; intelligent cerebellar model articulation controller; pulse repetition interval; pulse width; radar emitter characteristic; radar emitter identification method; radar target classification; radio frequency; training data; Decision support systems; Manganese; Zinc; Radar emitter; cerebellar model articulation controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Science and Engineering (ICSSE), 2012 International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-1-4673-0944-8
Electronic_ISBN :
978-1-4673-0943-1
Type :
conf
DOI :
10.1109/ICSSE.2012.6257146
Filename :
6257146
Link To Document :
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