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Parameters estimation of precession cone target based on micro-Doppler spectrum

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Abstract

Mechanical vibration or rotation of a target or structures on the target may induce additional frequency modulations on the returned radar signal which generate sidebands about the target’s Doppler frequency, called the micro-Doppler effect. The micro-Doppler can be regarded as a unique signature and provides valuable information for the motion parameters extraction and the target recognition of precession warhead targets. To solve the issue of estimating the motion parameters of those targets, a new method based on the m-D spectrum of the top and the bottom of the cone is proposed in this paper. In this method, the m-D features of the cone target are firstly extracted by calculating the first-order moments of the time–frequency distribution of the echo signal. Then, the motion parameters of the target are roughly estimated by the Fourier transformation of the m-D curve. Based on the rough estimation, the search method is employed to estimate the motion parameters of the cone target precisely. The validity of the proposed method is verified by the analysis data.

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References

  1. Lin, J. (2008). Technique of target recognition for ballistic missile. Modern Radar, 30(2), 1–5.

    Google Scholar 

  2. Zediker, M. S., Rice, R. R., & Hollister, J. H. (1998). Method for extending range and sensitivity of a fiber optic micro-Doppler Radar system and apparatus therefor. US Patent no. 6,847,817, 8 Dec. 1998.

  3. Chen, V. C., Li, F., Ho, S. S., et al. (2003). Analysis of micro-Doppler signatures. IEE Proceedings-Radar, Sonar and Navigation, 150(4), 271–276.

    Article  Google Scholar 

  4. Wang, T., Wang, X. S., Chang, Y. L., et al. (2010). Estimation of precession parameters and generation of ISAR images of ballistic; missile targets. IEEE Transactions on Aerospace Electronic Systems, 46(4), 1983–1995.

    Article  Google Scholar 

  5. Yao, H. Y., Sun, W. F., & Ma, X. Y. (2013). Precession and structure parameters estimation of cone-cylinder target bases on the HRRPs. Journal of Electronics & Information Technology, 35(3), 537–544.

    Article  Google Scholar 

  6. Tian, S. R., Jiang, Y. H., Guo, R. J., & Shi, X. Y. (2012). Ballistic target micro-Doppler feature extraction method based on the time-frequency analysis. Modern Radar, 34(1), 40–43.

    Google Scholar 

  7. Chen, V. C., Fayin, L., Shen-shyang, H., & Wechsler, H. (2006). Micro-Doppler effect in radar: Phenomenon, model, and simulation study. IEEE Transactions on Aerospace and Electronic Systems, 42(1), 2–21.

    Article  Google Scholar 

  8. Igor, D., Vesna, P.-B., & Marko, S. (2017). The STFT-based estimator of micro-Doppler parameters. IEEE Transactions on Aerospace Electronic Systems, 53(3), 1273–1283.

    Article  Google Scholar 

  9. Lovell, B. C., Williamson, R. C., & Boashash, B. (1993). The relationship between instantaneous frequency and time-frequency representations. IEEE Transactions on Signal Processing, 41(3), 1458–1461.

    Article  Google Scholar 

  10. Chen, V. C., & Ling, H. (2001). Time-frequency transforms for radar imaging and signal analysis. Boston: Artech House Inc.

    Google Scholar 

  11. Stankovic, L. (1994). A method for time–frequency analysis. IEEE Transactions on Signal Processing, 42, 225–229.

    Article  Google Scholar 

Download references

Acknowledgements

This project is sponsored by the National Marine Technology Program for Public Welfare (No. 201505002), the National Natural Science Foundation of China (Nos. 61571157, 61401118, 61371100) and the Subject Guide Fund of Harbin Institute of Technology at Weihai (No. WH20150111).

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Correspondence to Bo Li.

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Liu, A., Liu, G. & Li, B. Parameters estimation of precession cone target based on micro-Doppler spectrum. Wireless Netw 25, 3759–3765 (2019). https://doi.org/10.1007/s11276-018-1690-7

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  • DOI: https://doi.org/10.1007/s11276-018-1690-7

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