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Aspects of Signal Processing With Emphasis on Underwater Acoustics, Part 2

Proceedings of the NATO Advanced Study Institute held at Portovenere, La Spezia, Italy 30 August–11 September 1976

  • G. Tacconi

Part of the NATO Advanced Study Institutes Series book series (ASIC, volume 33-2)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Subject 3

  3. Displays, Pattern Recognition, Human Decision

  4. Relevant Inputs from Other Fields

  5. Modern Processor Architecture and Techniques

    1. Front Matter
      Pages 667-667
    2. H. J. Whitehouse, J. M. Speiser
      Pages 669-702
    3. G. Manes, L. Masotti
      Pages 703-725
    4. V. Cappellini
      Pages 727-746
    5. C. Atzeni, G. Manes, L. Masotti
      Pages 747-757
    6. D. L. Folds, N. H. Anderson
      Pages 759-769
  6. Summaries of Workshops

    1. Front Matter
      Pages 771-771
    2. O. L. Frost III, L. J. Griffiths
      Pages 775-776
  7. Back Matter
    Pages 781-787

About these proceedings

Introduction

This paper describes the results of current research at DREA in which techniques of optimum array processing are being applied to active sonar. We are presenting these results at the Advanced Study Institute in order to illustrate some actual applications for such processing and to point out some of the practical considerations which arise in real systems. In particular, the paper concerns the problems which arise when the individual sensor elements have a complicated directivity pattern themselves. This is a common phenomenon in active systems where the receiving sensors are complex resonant structures and are housed in a dome or towed body presenting various baffling and diffraction effects. Most treatments of array processing consider ideal elements which have well behaved directivity properties and are transparent to the field. The results of this paper show that where these properties are not met, careful in situ array measurements are required, and even with such measurements practical array gains may not be as good as predictions based on ideal sensors.

Keywords

Phase acoustics coding communication discrete Fourier transform entropy pattern recognition signal processing signal processor ultrasound

Editors and affiliations

  • G. Tacconi
    • 1
  1. 1.University of GenoaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-011-3036-3
  • Copyright Information Springer Science+Business Media B.V. 1977
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-5350-1
  • Online ISBN 978-94-011-3036-3
  • Series Print ISSN 1389-2185
  • Buy this book on publisher's site