The utility of synthetic aperture sonar in seafloor imaging

• Autorzy: Szczegielniak M.
• Języki publikacji: EN

Abstrakty

EN

Synthetic Aperture Sonar (SAS) is a high-resolution acoustic imaging technique which is an extension of normal sidescan sonar imaging. The cross-range (azimuthal) resolution in real aperture sonar is dependent on distance to the illuminated scene and signal frequency. Moreover, required azimuth resolution usually needs a beamwidth narrower (enlarged real aperture) than what can be achieved in practice by sized physical antenna. Synthetic aperture sonar overcomes all these constraints, which are discussed in this paper. The specific mode of SAS explained and analyzed here is known as stripmapping. In this mode, platform which contains a transmitter and a receiver, emits consecutively pulses to the examined area in range direction, which is perpendicular to the direction of travel. An appropriate coherent combination of received echos leads to formation of synthetically enlarged aperture. Synthetic aperture processing allows to obtain a high-resolution image of the examined seafloor. This paper covers basic SAS processing algorithm and shows some results of numerical simulation.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2005
• Tom: Vol. 8
• Strony: 217--226
• Opis fizyczny: Bibliogr. 4 poz., rys.

Twórcy

autor

Szczegielniak M.

• University of Technology and Agriculture in Bydgoszcz 7 Kalisky Ave, 85-792 Bydgoszcz, Poland

Bibliografia

• [1] R. McHugh, The Potential of Synthetic Aperture Sonar in seafloor imaging, Conference proceedings on CD ROM, T12, ICES 2000 Conference, Brugge, Belgium, September 2000
• [2] M. P. Hayes and P. T. Gough, Synthetic aperture sonar: a maturing discipline, Proceedings of the Seventh European Conference on Underwater Acoustics, pages 1101-1106, Delft, The Netherlands, July 2004
• [3] A.S. Milman, The Hyperbolic Geometry of SAR Imaging, Submitted to RADIO SCIENCE (http://home.cfl.rr.com/pt/hyperbolic.pdf), 2004
• [4] David T Sandwell, SAR image formation: ERS SAR processor coded in Matlab, Lecture Notes (http://topex.ucsd.edu/insar/sar_image_formation.pdf), - Radar and Sonar Interferometry, 2002