Skip to main content

Multistatic Sonar Imaging: Comparisons Between the Matched Filtering Method and a Reconstruction Method Based on the Kirchhoff Approximation

Buy Article:

$33.00 plus tax (Refund Policy)

In this study, comparisons are made between two imaging techniques in the context of the Multistatic Synthetic Aperture Sonar (SAS): the Matched Filtering method and a reconstruction method based on the Kirchhoff Approximation (KA). The Matched Filtering Algorithm (MFA) is the classical method used for image formation purposes in synthetic aperture systems. In this method the field diffracted by the target is approached by the "point scatterers" model. One of the first objective of this work is to develop a more complex and more realistic model than the well known "point scatterers" model. In addition, the aim is to get not only the shape and the size of target but also some quantitative information about its physical properties. Thus, a forward model based on the KA is proposed to get a more realistic description of the scattered field and a reconstruction method has been obtained through the use of a 2-D Fourier transform of this forward model. The algorithm hence obtained is named: "Imaging Reconstruction Algorithm in the Kirchhoff Approximation" (IRAKA). In this paper the IRAKA is compared to the MFA in order to check its capability to reconstruct target shape.

Images of 2-D targets of circular and elliptic cross-sections are reconstructed with the MFA and with the IRAKA from both numerical data and tank experimental data. These imaging methods are compared in terms of quality of the shape reconstruction and in terms of their robustness to noise in a given multistatic configuration. Both algorithms are also used to reconstruct images of a 2-D target of circular cross-section in a multistatic forward looking SAS context. With a good Signal to Noise Ratio (SNR) we get better results with the IRAKA than with the MFA in terms of the quality of target shape reconstruction. In presence of additive white Gaussian circular noise, the MFA off course, gives better results than the IRAKA. Nevertheless, using a technique of stabilization of the deconvolution, it has been possible to improve the performances of the IRAKA even in presence of additive noise.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Publication date: 2010-01-01

More about this publication?
  • Acta Acustica united with Acustica, published together with the European Acoustics Association (EAA), is an international, peer-reviewed journal on acoustics. It publishes original articles on all subjects in the field of acoustics, such as general linear acoustics, nonlinear acoustics, macrosonics, flow acoustics, atmospheric sound, underwater sound, ultrasonics, physical acoustics, structural acoustics, noise control, active control, environmental noise, building acoustics, room acoustics, acoustic materials, acoustic signal processing, computational and numerical acoustics, hearing, audiology and psychoacoustics, speech, musical acoustics, electroacoustics, auditory quality of systems. It reports on original scientific research in acoustics and on engineering applications. The journal considers scientific papers, technical and applied papers, book reviews, short communications, doctoral thesis abstracts, etc. In irregular intervals also special issues and review articles are published.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Information for Advertisers
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more