Abstract
Shallow water reverberation and clutter are the main interferences that limit the detection performance of active sonar on low-speed targets. Reasonable sonar waveform selection and parameter design can make use of the doppler sensitivity of the waveform to effectively suppress reverberation and clutter and reduce the sonar false alarm rate. The quantitative design of waveform doppler sensitivity is closely related to the degree of reverberation doppler expansion caused by environmental factors. In this paper, the “doppler-statistic Method” is proposed to establish the quantitative relationship between the doppler tolerance parameters of sonar waveform and the reverberation statistical model based on the reverberation doppler statistical model. The calculation method of clutter suppression probability is proposed, and the expression of the maximum allowable doppler tolerance value of sonar waveform under clutter suppression probability and confidence interval is determined. The lake trial analysis proves the effectiveness of the method, which is important on waveform design of active sonar with reverberation and clutter.
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References
Yang, T.C., Schindall, J., Huang, C.-F., et al.: Clutter reduction using doppler sonar in a harbor environment. J. Acoust. Soc. Am. 132(5), 3053–3067 (2012)
Chi, Z., Ma, X., Wu, Y., et al.: Clutter-suppressing performance estimation methods of active sonar waveform based on reverberation statistical models in littoral environment. IET Radar Sonar Navig. 11(11), 1700–1708 (2017)
Van Walree, P., Jenserud, T., Smedsrud, M.: A discrete-time channel simulator driven by measured scattering functions. IEEE J. Sel. Areas Commun. 26(9), 1628–1637 (2008)
Joseph, J., et al.: Effects of volume and boundary variability on the statistics of received signal frequency. J. Acoust. Soc. Am. 123(5), 3434 (2008)
Sibul, L.H.: Overview of signal processing in uncertain and random environments. J. Acoust. Soc. Am. 119(5), 3342 (2006)
Ward, S.: The Use of Sinusoidal Frequency Modulated Pulses for Low-doppler Detection, pp. 512–515. Oceans IEEE (2001)
Li, D., Wang, C., et al.: The effect of a layer of varying density on spatial correlation of sea-bottom backscattering signal. Chin. J. Acoust. 34(2), 107–121 (2015)
Camin, H.J., et al.: Received Signal Parameter Statistics in Random/Uncertain Oceans, pp. 1–6. Oceans IEEE (2006)
Igarashi, Y., Stern, R.: Observation of wind wave generated doppler shifts in surface reverberation. J. Acoust. Soc. Am. 49(3), 128 (2005)
Murray, J.J.: A theoretical model of linearly filtered reverberation for pulsed active sonar in shallow water. J. Acoust. Soc. Am. 136(5), 2523–2531 (2014)
Chi, Z., et al.: Modified asymmetric statistical model for the reverberation doppler spread spectrum. Acta Acustica 43(6), 8 (2018)
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© 2023 Harbin Engineering University
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Zhang, C., Wu, H., He, Y., Yan, X., Li, X. (2023). Active Sonar Waveform Parameter Design for Clutter Suppressing Based on Reverberation Doppler-Statistic Method. In: Yang, D. (eds) 2023 International Conference on Marine Equipment & Technology and Sustainable Development. METSD 2023. Lecture Notes in Civil Engineering, vol 375. Springer, Singapore. https://doi.org/10.1007/978-981-99-4291-6_67
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DOI: https://doi.org/10.1007/978-981-99-4291-6_67
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