Abstract
The application of pth-order autoregressive time series analysis models to the estimation of the time (range)-evolving Doppler sonar reverberation power spectrum is reported. In the Doppler sonar problem, scatterers suspended neutrally buoyant in the water column are used as tracers for the remote sensing of water mass motion at successive range intervals from the transducer. With the aid of a reverberation model, it is shown that the spatial transfer function characteristics of a transducer have a significant influence on the time (range)-evolving shape of the reverberation power spectrum. Thus, it is suggested that the use of first-order models is inadequate for the purpose of Doppler shift estimation. The results of an exploratory analysis of pings from a 70-kHz Doppler sonar appear to confirm this caution.
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© 1985 Springer Science+Business Media Dordrecht
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Hodgkiss, W.S., Hansen, D.S. (1985). Application of Autoregressive Models to the Doppler Sonar Problem. In: Smith, C.R., Grandy, W.T. (eds) Maximum-Entropy and Bayesian Methods in Inverse Problems. Fundamental Theories of Physics, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2221-6_20
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DOI: https://doi.org/10.1007/978-94-017-2221-6_20
Publisher Name: Springer, Dordrecht
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