Abstract
This paper considers large scattered arrays for 3D underwater acoustic positioning and imaging, where the hydrophone sensors, in the array, form a network over the total area of interest. A method where the Generalized Cross Correlation (GCC) function is projected over the volume is being used, and 3D images are formed. In this paper we determine the discretization of these images so that they fulfill the Nyqvist criterion. In order to detect and position targets by scattered sensors it is important to Doppler compensate and weight the different sensor pair results. In this paper we divide the water into volumes where Doppler compensation and pair weightings are implemented for each volume individually. Various aspects can govern the weighting assigned to a sensor pair and in this paper we have used opening angle between sensor pair and target. The baseline of the sensor pairs varies from 17 ? 181 meters, therefore different frequency bandwidths for each sensor pair is used. The developed method is tested on both simulations and real measurement for a surface target.
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