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Automatic Recognition of Intra-pulse Modulation Type of Radar Signal Based on Ambiguity Function

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 128))

Abstract

Aiming at the problem of low correct recognition rate to the modulation types of intra-pulse radar signal with common methods, an effective automatic recognition method of intra-pulse modulation types was proposed. First, it calculated Ambiguity Function (AF) of radar signal; and then used image processing algorithm to extract its singular value. The singular value vector was used as the input eigenvector of ANN to identify the intra-pulse modulation types automatically. The simulation results showed that the correct recognition rate was more than 84% to common intra-pulse radar signal in the 0dB SNR. It is of fewer dimension of the character vectors, simple structure of classifiers, high correct recognition rate and isn’t sensitive to noise.

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References

  1. Zhang, J.G., Sun, X.D., Zhang, L.Y.: Research on the Signal Characteristic Extraction Method Based on the Time-Frequency Analysis. Electrical Measurement & Instrumentation 42(474), 6–9 (2005) (in Chinese)

    Google Scholar 

  2. Yu, Z.B., Jin, W.D., Zhang, G.X.: Time-frequency analysis of radar emitter signal based on LWD. Application Research of Computers 25(10), 3142–3144 (2008) (in Chinese)

    Google Scholar 

  3. Zhao, Y.J., Huang, J.: Time-frequency Analysis of Fine-feature of Radar Signal. Modern Radar 12, 26–28 (2003) (in Chinese)

    Google Scholar 

  4. Lin, M.Y., Ke, Y.A.: Theory of Radar Signal. Pubilic of National Defense Engineering, Bejing (1984) (in Chinese)

    Google Scholar 

  5. Hong, Z.Q., Yang, J.Y.: The extraction of image algebraic feature used to image recognition. Automatic Journal 18(2), 233–238 (1992) (in Chinese)

    Google Scholar 

  6. Ji, Z.H., Zhu, W.Q., Zhao, L.: Study on intra-pulse modulation recognition method based on time-frequency distribution image and principal component analysis. Journal of Circuits and Systems 4, 22–25 (2009) (in Chinese)

    Google Scholar 

  7. Zhang, G.Z.: Research on Emitter Identification. National University of Defense Technology Dissertation for a Degree of Doctor, Changsha (2005) (in Chinese)

    Google Scholar 

  8. Nandi, A.K., Azzouz, E.E.: Algorithms for automatic modulation recognition of communication signals. IEEE Trans. on Comm. 46(4), 431–436 (1998)

    Article  Google Scholar 

  9. Desimio, M.P., Glenn, E.P.: Adaptive generation of decision functions for classification of digitally modulated signals. In: National Aerospace Electronics Conference, pp. 1010–1014 (1988)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information Countermeasure, Aviation University of Air Force, Changchun, China

    Guoyi Zhang, Changyu Wang & Feng Chen

  2. Department of Communication Engineering, Jilin University, Changchun, China

    Changyu Wang

Authors
  1. Guoyi Zhang
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  2. Changyu Wang
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  3. Feng Chen
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Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Zhang, G., Wang, C., Chen, F. (2012). Automatic Recognition of Intra-pulse Modulation Type of Radar Signal Based on Ambiguity Function. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_100

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  • DOI: https://doi.org/10.1007/978-3-642-25792-6_100

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25791-9

  • Online ISBN: 978-3-642-25792-6

  • eBook Packages: EngineeringEngineering (R0)

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