Statistical Signal Processing of Echo Ensembles

  • J. D. Penrose
  • T. Pauly
Chapter

Abstract

This chapter is concerned with gaining information about acoustic targets from ensembles of backscattered acoustic signals. Emphasis is given to backscatter from point targets, such that individual acoustic cross sections are small compared with the cross sectional area of the interrogating sound beam at ranges of interest. Biological scatterers in the ocean usually constitute such point targets and are used here to provide an example of ensemble processing. Such processing calls for the adoption of a model describing aspects of the scattering and the development of processing techniques. The assumptions involved in the model and processing technique used are of central importance. In this description, attention is given to the use of Monte Carlo techniques to evaluate the assumptions employed and the robustness of the techniques described.

Keywords

Beam Pattern Monte Carlo Technique Rayleigh Distribution Target Strength Backscatter Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • J. D. Penrose
    • 1
  • T. Pauly
    • 2
  1. 1.Centre for Marine Science and TechnologyCurtin University of TechnologyBentleyAustralia
  2. 2.Australian Antarctic DivisionKingstonAustralia

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