DocumentCode
2558567
Title
A Novel Method for Recognising Radar Emitter
Author
Zhang, Jiaming ; He, Yi
Author_Institution
Sch. of Inf. Eng., Wuhan Univ. of Technol., Wuhan, China
fYear
2010
fDate
23-25 Sept. 2010
Firstpage
1
Lastpage
3
Abstract
A novel method for recognising radar emitter is proposed in this paper. The resemblance coefficient (CR), pulse repetition interval (PRI) mean and variance are used as the factors for recognising radar emitter which is based on the feature of these parameters. Then, the radial basis probabilistic neural networks (RBPNN) recognition is designed. Simulation experiment shows that this novel method can improve the recognition rate while it can also improve the recognition velocity.
Keywords
radar computing; radar signal processing; radial basis function networks; RBPNN recognition; parameter feature; pulse repetition interval mean; pulse repetition interval variance; radar emitter; radial basis probabilistic neural networks; resemblance coefficient; Artificial neural networks; Character recognition; Radar countermeasures; Radar equipment; Signal to noise ratio; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-3708-5
Electronic_ISBN
978-1-4244-3709-2
Type
conf
DOI
10.1109/WICOM.2010.5600890
Filename
5600890
Link To Document