An Improved Cross-Correlation Velocity Measurement Method Based on Fraction Delay Estimation
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.
KeywordsCross-correlation Fractional delay estimation High-speed targets Target detection Velocity measurement Wideband
This work was supported by Industry-academic Joint Technological Innovations Fund Project of Jiangsu Province (BY2012187).
- 1.X. Zhang, Y. Bai, X. Chen, An improved cross-correlation method based on fractional delay estimation for velocity measurement of high speed targets, in Lecture Notes in Engineering and Computer Science: Processing of The World Congress on Engineering and Computer Science 2013, WCECS 2013, San Francisco, USA, pp. 651–654, 23–25 Oct 2013Google Scholar
- 2.C.S. Pang, T. Ran, A High Speed Target Detection Approach Based on STFrFT, in IEEE International Conference on Instrumentation, Measurement, Computer, Communication and Control, pp. 744–747 (2011)Google Scholar
- 4.R. Axelsson, J. Sune, Estimation of target position and velocity using data from multiple radar stations, in IEEE International Conference on Geoscience and Remote Sensing Symposium, vol. 7, pp. 4140–4143 (2003)Google Scholar
- 5.J.J. Chen, J. Chen, S.L. Wang, Detection of ultra-high speed moving target based on matched fourier transform, in IEEE International Conference on Radar, pp. 1–4 (2006)Google Scholar
- 9.A. Ludloff, M. Minker, Reliability of velocity measurement by MTD radar. IEEE Trans. Aerosp. Electron. Syst. AES-21(4), 522–528 (1985)Google Scholar
- 10.L.C. Perkins, H.B. Smith, D.H. Mooney. The development of airborne pulse Doppler radar. IEEE Trans. Aerosp. Electron. Syst. AES-20(3), 292–303 (1984)Google Scholar
- 11.W.D. Hu, H.J. Sun, X. Lv, S.Y. Li et al. Stepped frequency millimeter-wave signal ISAR processing, in Global Symposium on Millimeter Wave, pp. 63–65 (2008)Google Scholar
- 12.X.Z. Wei, R. Zhang, B. Deng, A recognition algorithm for high voltage transmission lines at horizontal polarization millimeter-wave radar, in ICIA International Conference on Information and Automation, pp. 1172–1175 (2008)Google Scholar
- 14.E.A. Lehmann, Particle filtering approach to adaptive time-delay estimation, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Toulouse, France, pp. 1129–1132 (2006)Google Scholar
- 17.Z. Zhao, Z.Q. Hou, The generalized phase spectrum method for time delay estimation. ACTA ACUSTICA 10(4), 201–215 (1985) (in Chinese)Google Scholar
- 18.Y. Bai, X. Zhang, X. Qiu, Subsample time delay estimation based on weighted straight line fitting to cross-spectrum phases. Chin. J. Electron. 19(4), 553–556 (2010)Google Scholar