Resemblance coefficient based intrapulse feature extraction approach for radar emitter signals

Chinese Journal of Electronics

Volumn 14, Issue 2, 2005, Pages 337-341

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

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SOUTHWEST JIAOTONG UNIVERSITY   (China)

^c National EW Laboratory   (China)

Author keywords

Feature extraction; Radar emitter signals; Recognition; Resemblance coefficient; Signal processing

Indexed keywords

ALGORITHMS; BANDWIDTH; ELECTRONIC WARFARE; FEATURE EXTRACTION; FREQUENCY MODULATION; INTEGRAL EQUATIONS; NOISE ABATEMENT; SIGNAL TO NOISE RATIO;

ELECTRONIC INTELLIGENCE; RADAR EMITTER SIGNALS; RECOGNITION; RESEMBLANCE COEFFICIENTS (RC);

SIGNAL PROCESSING;

EID: 17444403990     PISSN: 10224653     EISSN: 20755597     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. J.A. Anderson, M.T. Gately, P.A. Penz et al., "Radar signal categorization using a neural network", Proc. of the IEEE, Vol.78, No.10, pp.1646-1656, 1990.
2. L. Harry, F. Li, "A novel approach for detecting the number of emitters in a cluster", IEEE Trans. on Signal Processing. No.1, pp.261-264, 1993.
3. Q.R. Zhang, P.J. Shan, "Spectrum correlation of intrapulse feature analysis of radar signal", Electronic Warfare. Vol.19, No.4, pp. 1-6, 1993.
4. G.X. Zhang, L.Z. Hu, W.D. Jin, "Quantum computing based machine learning method and its application in radar emitter signal recognition", Lecture Notes in Artificial Intelligence (LNAI), Vol.3131, pp.92-103, 2004.
5. X.D. Yan, Q.R. Zhang, X.P. Lin, "Recognition method of pulse compression radar signal", Electronic Warfare, Vol.20, No.1, pp.28-34, 1994.
6. A.X. Liu, "A novel radar signal recognition methods", Aerospace Electronic Warfare, No.1, pp.14-16, 2003.
7. Y.F. Zhou, J.P.Y. Lee, "A MDL approach for determining the number of emitters using intra-pulse information", in Proc. of IEEE Pacific Rim Conf. on Communications, Computers and Signal Processing, pp.548-551, 1999.
8. Z.T. Huang, Y.Y. Zhou, W.L. Jiang, "The automatic analysis of intrapulse modulation characteristics based on the relatively non-ambiguity phase restore", Journal of China Institute of Communications. Vol.24, No.4, pp. 153-160, 2003.
9. G.P. Zhang, "Neural networks for classification: a survey", IEEE Trans. on System, Man, and Cybernetics-Part C: Application and Reviews, Vol.30, No.4, pp.451-462, 2000.
10. D. Kavalov, V. Kalinin, "Neural network surface acoustic wave RF signal processor for digital modulation recognition", IEEE Trans. on Ultrasonics, Ferroelectrics, and Frequency Control, Vol.49, No.9, pp.1280-1290, 2002
11. M. Riedmiller, H. Braun, "A direct adaptive method for faster back propagation learning: The RPROP algorithm", in Proc. of the IEEE Int. Conf. on Neural Networks, pp.586-591, 1993.