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Comparison of Radar Signal Sorting Method Between Single and Multi-parameter Based on

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Recent Trends in Intelligent Computing, Communication and Devices

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1006))

Abstract

With the increasing complexity of radar waveform design, traditional radar signals such as fixed-frequency, jagged, and jitter are becoming less and less common in modern radar design, and complex repeat frequency patterns such as agile and random repeat frequency become the current radar. Therefore, the sorting algorithm based on PRI has been difficult to adapt to the radar signal sorting of complex systems. In addition, the PRI-based sorting algorithm also has the problems of slow speed and poor sorting effect. In contrast, multi-parameter-based sorting method could achieve better results.

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References

  1. Liu, X., Si, X.: A new method for radar signal sorting. Syst. Eng. Electron. 32(1), 53–56 (2010)

    Google Scholar 

  2. Wang J., Lei P., Yang D. et al.: A novel deinterleaving algorithm of radar pulse signal based on DSP. In: IEEE International Symposium on Industrial Electronics (ISIE 2009), Seoul, Korea, 5–8 July, pp. 1899–1903 (2009)

    Google Scholar 

  3. Fuhua, F., Xuezhong Y.: Improved method for deinterleaving radar pulse trains with stagger PRI from dense pulse series. In: 2nd International Conference on Signal Processing Systems (ICSPS), Dalian, China, 5–7 July, pp. V3-250–V3-253 (2010)

    Google Scholar 

  4. Wang, B., Chen, Q., Wang, C.: Clustering-based frequency hopping signal sorting. J. Beijing Univ. Posts Telecom 32(2), 80–84 (2009)

    Google Scholar 

  5. Wilkinson, D.R., Watson, A.: Use of metric techniques in ESM data processing. IEE Proc. Part F Radar Sig. Process. 132(7), 121–125 (1985)

    Google Scholar 

  6. Hassan, H.E.: A new algorithm for radar emitter recognition. In: Proceedings of the 3rd ISISPA, vol. 2, pp. 1097–1101 (2003)

    Google Scholar 

  7. Jin, D., Wen, Z., Li, H.: Application of DBSCAN algorithm in radar full pulse signal sorting. Electron. Countermeasure 2, 19–22 (2011)

    Google Scholar 

  8. Nelson, D.J.: Special purpose correlation functions for improved signal detection and parameter estimation. In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP’93), pp. 73–76 (1993)

    Google Scholar 

  9. Nishinuchi, K., Kobayashi, M.: Improved algorithm for estimating pulse repetition intervals. IEEE Trans. Aerosp. Electron. Syst. 36, 407–421 (2000)

    Article  Google Scholar 

  10. Han, J., He, M.-H., Yan, W.-J. et al.: Radar signal sorting based on PRI transform and wavelet transform. J. Microcomput. 23(9), 164–166 (2007)

    Google Scholar 

  11. Zou, S., Zhang, Q., Yan, X.: Radar signal sorting based on PRI transform. Comput. Simul. 23(6), 41–44 (2006)

    Google Scholar 

  12. Chang, W., Wang, J., Wu, P.: Efficient PRI transform algorithm for DSP parallel processing. Aerosp. Electron. Front 24(1), 50–53 (2008)

    Google Scholar 

  13. Han, J., He, M., Cheng, B.: An improved PRI transform algorithm. Electron. Warfare 124, 25–29 (2009)

    Google Scholar 

  14. Wang, Z.L., Zhang, D.F., Bi, D.Y., et al.: Multiple-parameter radar signal sorting using support vector clustering and similitude entropy index. Circ. Syst. Sig. Process. 33(6), 1985–1996 (2014)

    Article  Google Scholar 

  15. Ben-Hur, A., Horn, D., Siegelmann, H.T., et al.: Support vector clustering. J. Mach. Learn. Res. 2, 125–137 (2001)

    MATH  Google Scholar 

Download references

Acknowledgements

This paper was supported in part by the National Natural Science Foundation of China under the Grant No. 61601499, 61701527, and 61601503.

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Correspondence to Hui-yong Zeng .

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Wang, Sq., Gao, C., Li, X., Zeng, Hy., Bai, J. (2020). Comparison of Radar Signal Sorting Method Between Single and Multi-parameter Based on. In: Jain, V., Patnaik, S., Popențiu Vlădicescu, F., Sethi, I. (eds) Recent Trends in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-9406-5_103

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