Acoustic multiple object positioning system

Research on multi-object acoustic positioning so far has not been much developed in wireless sensor networks because of the high communication and computation cost to deal with recorded convolved mixture signals. In this paper, we introduce a new method for acoustic multi-object positioning from the information of magnitudes recorded at different sensors. Analysis and simulation results lead to the conclusion that our method gives good accuracy with a distributed computing manner at a light communication cost.