An acoustic passive positioning/image method using widely distributed sensors in a network is shown. Previous studies have shown that, despite decreased coherence (due to the larger sensor separation) between sensor signals, a scattered array can give a better positioning capabillity. The positioning method divides the water into volumes and uses a weighting of each sensor pair’s correlation (Generalized Cross Correlation) result to test each volume individually. Various aspects can govern the weight assigned to a sensor pair and we have in this paper used distance from sensor to target. By projecting the correlation results over the map an intersection point is found. By looking at different depths the intersection point is found at the layer where the sound source is located. 3D positioning though requires an end fire sensor pair close to the sound source. The more pairs of that kind, the better the position in 3D will be. The developed method is tested on both simulations and real measurement data from a measurement campaign along the Swedish coastline. In order to image moving targets by scattered sensors it is also important to Doppler compensate.