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