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Volumn 4, Issue 2, 2010, Pages 137-148

Approach based on combination of vector neural networks for emitter identification

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LOADS; EMITTER IDENTIFICATION; EMITTER SIGNAL; FEATURE PARAMETERS; IDENTIFICATION ALGORITHMS; MEASUREMENT UNCERTAINTY; NONLINEAR MAPPINGS; VECTOR NEURAL NETWORKS;

EID: 84455165299     PISSN: 17519675     EISSN: 17519683     Source Type: Journal    
DOI: 10.1049/iet-spr.2008.0247     Document Type: Article
Times cited : (23)

References (20)
  • 2
    • 0036500943 scopus 로고    scopus 로고
    • Electronic warfare systems
    • SPEZIO A.E.: 'Electronic warfare systems', IEEE Trans. Microw. Theory Tech., 2002, 50, (3), pp. 633-644
    • (2002) IEEE Trans. Microw. Theory Tech. , vol.50 , Issue.3 , pp. 633-644
    • Spezio, A.E.1
  • 3
    • 51949101881 scopus 로고    scopus 로고
    • Specific emitter identification
    • MATUSZEWSKI J.: 'Specific emitter identification'. Proc. Int. Radar Symp. (IRS 2008), Wroclaw, Poland, May 2008, pp. 1-4
    • (2008) Proc. Int. Radar Symp. , pp. 1-4
    • Matuszewski, J.1
  • 4
    • 54349091307 scopus 로고    scopus 로고
    • An improved SVDU-IKPCA algorithm for specific emitter identification
    • Proc IEEE Int. Conf. Information and Automation (ICIA 2008), Zhangjiajie, China, June.
    • XU D., YANG B., JIANG W.L., ZHOU Y.Y.: 'An improved SVDU-IKPCA algorithm for specific emitter identification'. Proc. IEEE Int. Conf. Information and Automation (ICIA 2008), Zhangjiajie, China, June 2008,pp. 692-696
    • (2008) , pp. 692-696
    • Xu, D.1    Yang, B.2    Jiang, W.L.3    Zhou, Y.Y.4
  • 5
    • 49049109324 scopus 로고    scopus 로고
    • Specific emitter identification using nonlinear device estimation
    • Proc. IEEE SarnoffSymp. (SARNOFF 2008), Princeton, NJ, USA, April.
    • LIU M.-W., DOHERTY J.F.: 'Specific emitter identification using nonlinear device estimation'. Proc. IEEE SarnoffSymp. (SARNOFF 2008), Princeton, NJ, USA, April 2008, pp. 1-5
    • (2008) , pp. 1-5
    • Liu, M.W.1    Doherty, J.F.2
  • 6
    • 33845289259 scopus 로고    scopus 로고
    • Emitter recognition using fuzzy inference system
    • Proc. IEEE Int. Symp. Emerging Technologies, Islamabad, Pakistan, September.
    • HASSAN S.A., BHATTI A.I., LATIF A.: 'Emitter recognition using fuzzy inference system'. Proc. IEEE Int. Symp. Emerging Technologies, Islamabad, Pakistan, September 2005,pp. 204-208
    • (2005) , pp. 204-208
    • Hassan, S.A.1    Bhatti, A.I.2    Latif, A.3
  • 7
    • 33845344697 scopus 로고    scopus 로고
    • Emitter recognition based on modified X-means clustering
    • Proc. IEEE Int. Symp. Emerging Technologies, Islamabad, Pakistan, September.
    • JAVED Y., BHATTI A.I.: 'Emitter recognition based on modified X-means clustering'. Proc. IEEE Int. Symp. Emerging Technologies, Islamabad, Pakistan, September 2005, pp. 352-358
    • (2005) , pp. 352-358
    • Javed, Y.1    Bhatti, A.I.2
  • 8
    • 50549085732 scopus 로고    scopus 로고
    • On kernel differenceweighted k-nearest neighbor classification
    • ZUO W.M., ZHANG D., WANG K.Q.: 'On kernel differenceweighted k-nearest neighbor classification', Pattern Anal. Appl., 2008, 11, (3-4), pp. 247-257
    • (2008) Pattern Anal. Appl. , vol.11 , Issue.3-4 , pp. 247-257
    • Zuo, W.M.1    Zhang, D.2    Wang, K.Q.3
  • 9
    • 50249093431 scopus 로고    scopus 로고
    • Emitter recognition using fuzzy adaptation of ARTMAP neural networks
    • Proc. 9th IEEE Int. Multitopic Conf. (INMIC 2005), Karachi, Pakistan, December.
    • HASSAN S.A., BHATTI A.I., LATIF A.: 'Emitter recognition using fuzzy adaptation of ARTMAP neural networks'. Proc. 9th IEEE Int. Multitopic Conf. (INMIC 2005), Karachi, Pakistan, December 2005, pp. 1-6
    • (2005) , pp. 1-6
    • Hassan, S.A.1    Bhatti, A.I.2    Latif, A.3
  • 10
    • 0025623510 scopus 로고
    • Radar classification using a neural network
    • Proc. Appl. Artif. Neural Netw., SPIE.
    • WILLSON G.B.: 'Radar classification using a neural network', Proc. Appl. Artif. Neural Netw., SPIE, 1990, 1294, pp. 200-210
    • (1990) , vol.1294 , pp. 200-210
    • Willson, G.B.1
  • 11
    • 51949083713 scopus 로고    scopus 로고
    • Face recognition using principal component analysis and RBF neural networks
    • Proc. First Int. Conf. Emerging Trends in Engineering and Technology, Nagpur, Maharashtra, India, July.
    • THAKUR S., SING J.K., BASU D.K., NASIPURI M., KUNDU M.: 'Face recognition using principal component analysis and RBF neural networks'. Proc. First Int. Conf. Emerging Trends in Engineering and Technology, Nagpur, Maharashtra, India, July 2008, pp. 695-700
    • (2008) , pp. 695-700
    • Thakur, S.1    Sing, J.K.2    Basu, D.K.3    Nasipuri, M.4    Kundu, M.5
  • 12
    • 0027595614 scopus 로고
    • Neural networks that learn from fuzzy if-then rules
    • ISHIBUCHI H., FUJIOKA R., TANAKA H.: 'Neural networks that learn from fuzzy if-then rules', IEEE Trans. Fuzzy Syst., 1993, 1, (2), pp. 85-97
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , Issue.2 , pp. 85-97
    • Ishibuchi, H.1    Fujioka, R.2    Tanaka, H.3
  • 13
    • 0027912844 scopus 로고
    • An architecture of neural networks with interval weights and its application to fuzzy regression analysis
    • ISHIBUCHI H., TANAKA H., OKADA H.: 'An architecture of neural networks with interval weights and its application to fuzzy regression analysis', Fuzzy Sets Syst., 1993, 57, (1), pp. 27-39
    • (1993) Fuzzy Sets Syst , vol.57 , Issue.1 , pp. 27-39
    • Ishibuchi, H.1    Tanaka, H.2    Okada, H.3
  • 14
    • 0028406626 scopus 로고
    • Neural networks with interval weights for nonlinear mappings of interval vectors
    • KWON K., ISHIBUCHI H., TANAKA H.: 'Neural networks with interval weights for nonlinear mappings of interval vectors', IEICE Trans. Inf. Syst., 1994, E77-D, (4), pp. 409-417
    • (1994) IEICE Trans. Inf. Syst. , vol.77 E-D , Issue.4 , pp. 409-417
    • Kwon, K.1    Ishibuchi, H.2    Tanaka, H.3
  • 15
    • 84972914506 scopus 로고
    • Discriminant analysis of multi-dimensional interval data and its application to chemical sensing
    • ISHIBUCHI H., TANAKA H., FUKUOKA N.: 'Discriminant analysis of multi-dimensional interval data and its application to chemical sensing', Int. J. Gen. Syst., 1990, 16, (4),pp. 311-329
    • (1990) Int. J. Gen. Syst. , vol.16 , Issue.4 , pp. 311-329
    • Ishibuchi, H.1    Tanaka, H.2    Fukuoka, N.3
  • 16
    • 26844469668 scopus 로고    scopus 로고
    • Rule weight specification in fuzzy rule-based classification systems
    • ISHIBUCHI H., YAMAMOTO T.: 'Rule weight specification in fuzzy rule-based classification systems', IEEE Trans. Fuzzy Syst., 2005, 13, (4), pp. 428-435
    • (2005) IEEE Trans. Fuzzy Syst. , vol.13 , Issue.4 , pp. 428-435
    • Ishibuchi, H.1    Yamamoto, T.2
  • 17
    • 71249141965 scopus 로고    scopus 로고
    • A costbased fuzzy system for pattern classification with class importance
    • NAKASHIMA T., YOKOTA Y., ISHIBUCHI H., SCHAEFER G.: 'A costbased fuzzy system for pattern classification with class importance', Artif. Life Robot., 2008, 12, pp. 43-46
    • (2008) Artif. Life Robot. , vol.12 , pp. 43-46
    • Nakashima, T.1    Yokota, Y.2    Ishibuchi, H.3    Schaefer, G.4
  • 18
    • 0036699912 scopus 로고    scopus 로고
    • A vector neural network for emitter identification
    • SHIEH C.-S., LIN C.-T.: 'A vector neural network for emitter identification', IEEE Trans. Antennas Propag., 2002, 50, (8), pp. 1120-1127
    • (2002) IEEE Trans. Antennas Propag , vol.50 , Issue.8 , pp. 1120-1127
    • Shieh, C.S.1    Lin, C.T.2
  • 19
    • 0035722510 scopus 로고    scopus 로고
    • Interval-based neural networks for soft decisions
    • Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, Tucson, AZ, October.
    • NAVA P.A.: 'Interval-based neural networks for soft decisions'. Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, Tucson, AZ, October 2001,pp. 3264-3268
    • (2001) , pp. 3264-3268
    • Nava, P.1
  • 20
    • 0035521110 scopus 로고    scopus 로고
    • Learn++: an incremental learning algorithm for supervised neural networks
    • POLIKAR R., UPDA L., UPDA S.S., HONAVAR V.: 'Learn++: an incremental learning algorithm for supervised neural networks', IEEE Trans. Syst. Man Cybern., 2001, 31, (4), pp. 497-508
    • (2001) IEEE Trans. Syst. Man Cybern. , vol.31 , Issue.4 , pp. 497-508
    • Polikar, R.1    Upda, L.2    Upda, S.S.3    Honavar, V.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.