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An Improved Cross-Correlation Velocity Measurement Method Based on Fraction Delay Estimation

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Transactions on Engineering Technologies

Abstract

For target detection, identification and imaging, velocity estimation of high-speed targets is very important. Since the target echoes may not locate at the same range bin, and the Doppler velocity is seriously ambiguous, it is difficult to apply the traditional Doppler velocity method into estimation of high speed targets. Currently a wideband cross-correlation method is widely used to estimate the velocity. However, the measurement accuracy is limited by the sampling interval. An improved cross-correlation velocity measurement method based on the fractional delay estimation is proposed in this paper, and corresponding simulations are carried out. The results show that the estimation accuracy of the proposed method is within 1 m/s in the situation of wideband. The proposed method breaks through the limitation of integer sampling interval, as well as results in higher estimation accuracy.

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Acknowledgments

This work was supported by Industry-academic Joint Technological Innovations Fund Project of Jiangsu Province (BY2012187).

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Authors and Affiliations

  1. School of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, People’s Republic of China

    Xinggan Zhang, Yechao Bai & Xiaoli Chen

Authors
  1. Xinggan Zhang
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  2. Yechao Bai
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  3. Xiaoli Chen
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Corresponding author

Correspondence to Yechao Bai .

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Editors and Affiliations

  1. Computer & Communication, Catholic University of DaeGu, DaeGu, Korea, Republic of (South Korea)

    Haeng Kon Kim

  2. IAENG Secretariat, International Association of Engineers, Hong Kong, Hong Kong SAR

    Sio-Iong Ao

  3. College of Engineering, California State Polytechnic University, Pomona, California, USA

    Mahyar A. Amouzegar

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Zhang, X., Bai, Y., Chen, X. (2014). An Improved Cross-Correlation Velocity Measurement Method Based on Fraction Delay Estimation. In: Kim, H., Ao, SI., Amouzegar, M. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9115-1_10

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  • DOI: https://doi.org/10.1007/978-94-017-9115-1_10

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9114-4

  • Online ISBN: 978-94-017-9115-1

  • eBook Packages: EngineeringEngineering (R0)

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