DocumentCode
2631831
Title
Analysis of the Directivity Gain of a Synthetic Aperture in Active and Passive Modes
Author
Billon, Didier
Author_Institution
Thales Underwater Syst., Brest
fYear
2006
fDate
12-14 July 2006
Firstpage
330
Lastpage
333
Abstract
While synthetic aperture sonar is now a mature technology for active imaging of the sea floor, its use for improving passive detection or localisation of underwater acoustic sources is still a research issue. In the first part, we show that the phase shifts for passive synthetic aperture beamforming do not depend on the steering direction. Hence a passive synthetic aperture has the same directivity pattern like the real aperture that it originates from. The directivity gain of an active synthetic aperture is caused by the phase origin reset at each transmit time resulting in a phase discontinuity depending on the bearing angle. Model-based array processing (MBAP), which estimates a source state from the array vector signal, has been proposed as an alternative to passive synthetic aperture for improving source localization. In the second part, we propose a MBAP approach based on a hidden Markov model (HMM) where the signal phase is a third order polynomial. Numerical simulation shows that it does not improve the bearing angle accuracy with respect to an HMM tracker performing on the square magnitude output of real aperture beamforming. This result is in accordance with the fact that both estimators meet the same Cramer-Rao lower bound. But the new method has interesting detection potential
Keywords
array signal processing; hidden Markov models; polynomials; sonar arrays; sonar imaging; synthetic aperture sonar; underwater sound; Cramer-Rao lower bound; active synthetic aperture; array vector signal; directivity gain; directivity pattern; hidden Markov model; model-based array processing; passive synthetic aperture beamforming; phase discontinuity; sea floor; source localization; synthetic aperture sonar; third order polynomial; underwater acoustic sources; Acoustic imaging; Acoustic signal detection; Array signal processing; Hidden Markov models; Sea floor; Sonar detection; State estimation; Synthetic aperture sonar; Underwater acoustics; Underwater tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
Conference_Location
Waltham, MA
Print_ISBN
1-4244-0308-1
Type
conf
DOI
10.1109/SAM.2006.1706148
Filename
1706148
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