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access icon openaccess ωk algorithm for multi-receiver synthetic aperture sonar based on exact analytical two-dimensional spectrum

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 21/02/2019, Accepted 07/05/2019, Published 11/07/2019

Based on the method of deriving two-dimensional wavenumber spectrum by using instantaneous Doppler wavenumber in bistatic synthetic aperture radar, the analytical solution of two-dimensional wavenumber spectrum of multi-receiver synthetic aperture sonar (SAS) was deduced, and the analytical expression of the half-quasi-bistatic angle was obtained under the non-stop-and-go assumption. Based on the derived two-dimensional wavenumber spectrum, the ωk algorithm suitable for multi-sub-array SAS was proposed, which solved the problem that using the displacement phase centre approximation cannot well adapt to the wide mapping area imaging, and the correctness and validity of the algorithm have been verified by the simulation data and the lake experiment data.

Inspec keywords: synthetic aperture sonar; approximation theory; sonar imaging

Other keywords: exact analytical two-dimensional spectrum; half-quasibistatic angle; wide mapping area imaging; instantaneous Doppler wavenumber; bistatic synthetic aperture radar; e displacement phase centre approximation; ωk algorithm; multireceiver synthetic aperture sonar; multisubarray SAS; two-dimensional spectrum; non-stop-and-go assumption; two-dimensional wavenumber spectrum

Subjects: Interpolation and function approximation (numerical analysis); Sonar and acoustic radar; Optical, image and video signal processing

References

    1. 1)
      • 10. Zhang, Z., Xing, M., Ding, J., et al: ‘Focusing parallel bistatic sar data using the analytic transfer function in the wavenumber domain’, IEEE Trans. Geosci. Remote Sens., 2007, 45, pp. 3633–3645.
    2. 2)
      • 1. Carballini, J., Viana, F.: ‘Using synthetic aperture sonar as an effective tool for pipeline inspection survey projects’. 2015 IEEE/OES Acoustics in Underwater Geosciences Symp. (RIO Acoustics), Rio de Janeiro, Brazil, 2015, pp. 1–5.
    3. 3)
      • 13. Wu, Q., Xing, M., Shi, H., et al: ‘Exact analytical two-dimensional spectrum for bistatic synthetic aperture radar in tandem configuration’, IET Radar Sonar Navig., 2011, 5, pp. 349–360.
    4. 4)
      • 2. Chen, C., Zare, A., Cobb, J.T.: ‘Sand ripple characterization using an extended synthetic aperture sonar model and parallel sampling method’, IEEE Trans. Geosci. Remote Sens., 2015, 53, pp. 5547–5559.
    5. 5)
      • 9. Yang, H.-L., Zhang, S., Tang, J.S.: ‘Study on simulation of multiple-receiver synthetic aperture sonar imagery based on wide swath’, J. Syst. Simul., 2011, 23, (7), pp. 1424–1428.
    6. 6)
      • 7. Sheriff, R.W.: ‘Synthetic aperture beamforming with automatic phase compensation for high frequency sonars’. The Symp. on Autonomous Underwater Vehicle Technology, Washington, DC, USA, 1992, pp. 236–245.
    7. 7)
      • 8. Zhang, X., Tang, J., Zhong, H.: ‘Multireceiver correction for the chirp scaling algorithm in synthetic aperture sonar’, IEEE J. Ocean. Eng., 2014, 39, pp. 472–481.
    8. 8)
      • 6. Gough, P.T., Hayes, M.P., Wilkinson, D.R.: ‘An efficient image reconstruction algorithm for a multiple hydrophone array synthetic aperture sonar’. The fifth European Conf. on Underwater Acoustics, Luxembourg, 2000, pp. 395–400.
    9. 9)
      • 4. Hayes, M.P., Gough, P.T.: ‘Synthetic aperture sonar: a review of current status’, IEEE J. Ocean. Eng., 2009, 34, pp. 207–224.
    10. 10)
      • 5. Qiao, Z., Kraus, D.: ‘Azimuth ambiguity in redundant sampled stripmap SAS imaging’. OCEANS-2016, Shanghai, China, 2016, pp. 1–5.
    11. 11)
      • 14. Zhen, T., Jinsong, T., Heping, Z., et al: ‘Extended range Doppler algorithm for multiple-receiver synthetic aperture sonar based on exact analytical two-dimensional spectrum’, IEEE J. Ocean. Eng., 2016, 41, pp. 164–174.
    12. 12)
      • 11. Wu, Q., Liang, Y., Xing, M., et al: ‘Focusing of tandem bistatic-configuration data with range migration algorithm’, IEEE Geosci. Remote Sens. Lett., 2011, 8, pp. 88–92.
    13. 13)
      • 12. Wu, Q., Zhang, Y.D., Amin, M.G., et al: ‘Focusing of tandem bistatic SAR data using range Doppler algorithm’. 2014 IEEE Radar Conf., Cincinnati, OH, USA, 2014, pp. 927–931.
    14. 14)
      • 3. Jonsson, M., Esteki, H.: ‘Evaluation of detection based on statistics and template matching classification on SAS AUV data’, OCEANS-2015, Genova, Italy, 2015, pp. 1–7.
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