Identification of radar signals using neural network classifier with low-discrepancy optimisation

2013 IEEE Congress on Evolutionary Computation, CEC 2013

Volumn , Issue , 2013, Pages 2658-2664

  Petrov, Nedyalko ^a   Jordanov, Ivan ^a   Roe, Jon ^b  

^a UNIVERSITY OF PORTSMOUTH   (United Kingdom)

^b ESROE Limited   (United Kingdom)

Author keywords

global optimisation; neural network classification; radar signals identification; supervised learning

Indexed keywords

GLOBAL OPTIMISATION; INTERCEPTED RADAR SIGNALS; LOW-DISCREPANCY SEQUENCES; NEURAL NETWORK CLASSIFICATION; NEURAL NETWORK CLASSIFIER; OPTIMISATIONS; RADAR SIGNALS; TESTING DATA;

GLOBAL OPTIMIZATION; NEURAL NETWORKS; OPTIMIZATION; SUPERVISED LEARNING;

RADAR;

EID: 84881582240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2013.6557890     Document Type: Conference Paper

References (27)

1. M.I. Skolnik, Introduction to radar systems, 3rd ed. ed., McGraw Hill, Boston, 2001.
2. D.C. Schleher, Electronic warfare in the information age, Artech House, Boston ; London, 1999.
3. J.C. Sciortino, Autonomous ESM systems, Nav Eng J, 109 (1997) 73-84.
4. E. Granger, M.A. Rubin, S. Grossberg, P. Lavoie, A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters, Neural Networks, 14 (2001) 325-344.
5. S. D'Agostino, G. Foglia, D. Pistoia, Specific Emitter Identification Analysis on real radar signal data, in: Radar Conference 2009. EuRAD 2009. European, IEEE, 2009, 242-245.
6. L. Li, H.B. Ji, L. Wang, Specific Radar Emitter Recognition Based on Wavelet Packet Transform and Probabilistic SVM, Icia: 2009 International Conference on Information and Automation, Vols 1-3, (2009) 1283-1288.
7. G. Zhang, L. Hu, W. Jin, A novel approach for radar emitter signal recognition, in: Circuits and Systems, 2004. Proceedings. The 2004 IEEE Asia-Pacific Conference on, IEEE, 2004, pp. 817-820.
8. J. Lundén, V. Koivunen, Automatic radar waveform recognition, Selected Topics in Signal Processing, IEEE Journal of, 1 (2007), 124-136.
9. H. Hassan, A new algorithm for radar emitter recognition, in: Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on, IEEE, 2003, pp. 1097-1101.
10. J. Liu, J.P. Lee, L. Li, Z .-Q. Luo, K.M. Wong, Online clustering algorithms for radar emitter classification, Pattern Analysis and Machine Intelligence, IEEE Transactions on, 27 (2005) 1185-1196.
11. C. Ting, G. Wei, S. Bing, A new radar emitter recognition method based on pulse sample figure, in: Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on, IEEE, 2011, pp. 1902-1905.
12. L. Wang, H. Ji, Y. Shi, Feature extraction and optimization of representative-slice in ambiguity function for moving radar emitter recognition, in: Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on, IEEE, 2010, pp. 2246-2249.
13. Y. Zeng, O. Li, A new algorithm for signal emitter recognition, in: Image Analysis and Signal Processing (IASP), 2010 International Conference on, IEEE, 2010, pp. 446-449.
14. B. Kamgar-Parsi, B. Kamgar-Parsi, J.C. Sciortino Jr, Automatic Data Sorting Using Neural Network Techniques, in, DTIC Document, 1996.
15. D.R. Pape, J.A. Anderson, J.A. Carter, P.A. Wasilousky, Advanced signal waveform classifier, Proc. SPIE-The Int'l Society of Optical Engineers, 3160 (1997) 162-169.
16. A.L. Roe, J. Roe, The application of artificial intelligence techniques to naval ESM radar identification, (1994).
17. L. Anjaneyulu, N. Sarma, N. Murthy, Identification of LPI radar signals by higher order spe ctra and neural network techniques, International Journal of Information and Communication Technology, 2 (2009) 142-155.
18. N. Ibrahim, R.R. Abdullah, M. Saripan, Artificial neural network approach in radar target classification, Journal of Computer Science, 5 (2009) 23-32.
19. Z. Yin, W. Yang, Z. Yang, L. Zuo, H. Gao, A study on radar emitter recognition based on SPDS neural network Information Technology Journal, 10 (2011) 883-888.
20. Z.-C. Zhang, X. Guan, Y. He, Study on radar emitter recognition signal based on rough sets and RBF neural network, in: Machine Learning and C ybernetics, 2009 International Conference on, IEEE, 2009, pp. 1225-1230.
21. C.-S. Shieh, C.-T. Lin, A vector neural network for emitter identification, Antennas and Propagation, IEEE Transactions on, 50 (2002) 1120-1127.
22. E. Rahm, H.H. Do, Data cleaning: Problems and current approaches, IEEE Data Engineering Bulletin, 23 (2000) 3-13.
23. J.W. Graha m, Missing data analysis: Making it work in the real world, Annual review of psychology, 60 (2009) 549-576.
24. A. Kawalec, R. Owczarek, Specific emitter identification using intrapulse data, in: R adar Conference, 2004. EURAD. First European, IEEE, 2004, pp. 249-252.
25. A. Georgieva, I. Jordanov, A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points, Comp ut Oper Res, 37 (2010) 456-469.
26. A. Georgieva, I. Jordanov, Global optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms, Eur J Oper Res, 196 (2009) 413-422.
27. A. Georgieva, I. Jordanov, Intelligent visual recognition and classification of cork tiles with neural networks, Neural Networks, IEEE Transactions on, 20 (2009) 675-685.