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
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;
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
DOI :
10.1109/WICOM.2010.5600890
