Radar emitter signal recognition based on rough set theory

Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University

Volumn 39, Issue 8, 2005, Pages 871-875

  Zhang, Gexiang ^a,b   Jin, Weidong ^a   Hu, Laizhao ^b  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

^b National EW Laboratory   (China)

Author keywords

Radar emitter; Rough set theory; Signal recognition

Indexed keywords

FEATURE EXTRACTION; NEURAL NETWORKS; RADAR TARGET RECOGNITION; RADAR WARNING SYSTEMS; ROUGH SET THEORY; SIGNAL PROCESSING;

FEATURE SELECTION METHOD; INTERVAL VALUED CONTINUOUS ATTRIBUTE DISCRETIZATION; RADAR EMITTER SIGNAL RECOGNITION; ROUGH SET NEURAL NETWORK CLASSIFIER;

MILITARY RADAR;

EID: 24044540391     PISSN: 0253987X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Granger E, Rubin M A, Grossberg S, et al. A what-and-where fusion neural network for recognition and tracking of multiple radar emitters [J]. Neural Networks, 2001, 14(3): 325-344.
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4. Roy A, Pal S K. Fuzzy discretization of feature space for a rough set classifier [J]. Pattern Recognition Letter, 2003, 24(6): 895-902.
5. Zhang G X, Hu L Z, Jin W D. Complexity feature extraction of radar emitter signals [A]. Proc of 3rd Asia-Pacific Conf on Environmental Electromagnetics [C]. Piscataway: IEEE Press, 2003. 495-498.
6. Zhang G X, Rong H N, Jin W D, et al. Radar emitter signal recognition based on resemblance coefficient features [A]. Lecture Notes in Computer Science, 3066 [C]. Berlin: Springer-Verlay GmbH and Company KG, 2004. 665-670.