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Flight Recognition via HRRP Using Fusion Schemes

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Communications, Signal Processing, and Systems (CSPS 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 423))

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Abstract

The purpose of this research is to increase the target recognition rate based on high-resolution range profile (HRRP) by the method of information fusion. We fuse the HRRPs of the same target from different radars with varying waves via methods of both the weighted mean and the arithmetic mean. Then, we carry out target recognition with Bayesian classifier. The result shows that the target recognition ratio using the fused HRRP is higher than that of single.

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References

  1. C.R. Smith, P.M. Goggans, Radar target identification. IEEE Antennas Propag. Mag. 35(2), 27–38 (1993)

    Article  Google Scholar 

  2. X.D. Zhang, Y. Shi, Z. Bao, A new feature vector using selected bispectra for signal classification with application in radar target recognition. IEEE Trans. Signal Process. 49(9), 1875–1885 (2001)

    Article  Google Scholar 

  3. D.H. Kim, D.K. Seo, H.T. Kim, Efficient radar target recognition using the music algorithm and invariant features. IEEE Trans. Antennas Propag. 50(3), 325–337 (2002)

    Article  Google Scholar 

  4. D.R. Wehner, High Resolution Radar, vol. 44, no. 1, 2nd edn. (Artech House, 1995)

    Google Scholar 

  5. H.J. Li, S.H. Yang, Using range profiles as feature vectors to identify aerospace objects. IEEE Trans. Antennas Propag. 3(3), 261–268 (1993)

    Article  MathSciNet  Google Scholar 

  6. B. Bhanu, Automatic target recognition: state of the art survey. IEEE Trans. Aerosp. Electron. Syst. 22(4), 364–379 (1986)

    Article  Google Scholar 

  7. R.D. Strattan, Target identification from radar signatures, in IEEE International Conference on ICASSP Acoustics, Speech, and Signal Processing (1978), pp. 223–227

    Google Scholar 

  8. L. Du, H. Liu, Z. Bao, M. Xing, Radar HRRP target recognition based on higher order spectra. IEEE Trans. Signal Process. 53(7), 2359–2368 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  9. Z. Guo, S. Li, One-dimensional frequency-domain features for aircraft recognition from radar range profiles. IEEE Trans. Aerosp. Electron. Syst. 46(4), 1880–1892 (2010)

    Article  Google Scholar 

  10. A. Zyweck, R.E. Bogner, Radar target classification of commercial aircraft. IEEE Trans. Aerosp. Electron. Syst. 32(2), 598–606 (1996)

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (61671138), the Fundamental Research Funds for the Central Universities Project No. ZYGX2015J021, and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry.

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Correspondence to Yang Zhang .

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Zhang, Y., Yu, X., Duan, Z., Zhang, J., Liang, J. (2018). Flight Recognition via HRRP Using Fusion Schemes. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2016. Lecture Notes in Electrical Engineering, vol 423. Springer, Singapore. https://doi.org/10.1007/978-981-10-3229-5_26

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  • DOI: https://doi.org/10.1007/978-981-10-3229-5_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3228-8

  • Online ISBN: 978-981-10-3229-5

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