Abstract
A non-linear high-resolution technique for spectral analysis is presented. This technique differs significantly from those presently in use in that it operates on the system outputs rather than the input sampled data. The technique has general application and can be used wherever a response function is known or can be assumed. It has been applied to obtain the undersea ambient noise spatial spectrum from towed line array data and the frequency spectrum from time history data. The technique is relatively insensitive to errors and can handle data with high dynamic ranges as a result of its non-linearity. Examples of improved resolution in both space and frequency are given.
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References
Wagstaff, R.A.: 1978, “Iterative technique for ambient noise horizontal directionality estimation from towed line-array data”, J. Acoust. Soc. Am. 63, pp 863–869.
Shafer, R.W., Mersereau, R.M. and Richards, M.A.: 1981, “Constrained Iterative Restoration Algorithms”, Proc. IEEE, Vol. 69, No. 4, pp 432–460.
Kay, S.M. and S.L. Marple, Jr.: 1981, “Spectrum Analysis - A Modern Perspective”, Proc. IEEE, Vol. 69, No. 11, pp. 1386–1419.
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© 1983 D. Reidel Publishing Company
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Wagstaff, R.A., Berrou, J.L. (1983). A Simple Approach to High-Resolution Spectral Analysis. In: Bucy, R.S., Moura, J.M.F. (eds) Nonlinear Stochastic Problems. NATO ASI Series, vol 104. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7142-4_5
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DOI: https://doi.org/10.1007/978-94-009-7142-4_5
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-009-7144-8
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