Signal processing for a positioning system with binary sensory outputs

Energy based localization method for source localization has attracted considerable attention in recent years. The binary sensor is a low-power and bandwidth-efficient solution for positioning system since the node provides only binary information about the sources. Most of the existing acoustic source localization methods assume there only exists a single source and may fail with the presence of multiple sources. In contrast, we directly consider the case when the node is influenced by multiple sources. A maximum likelihood estimation method is applicable to the multiple sources localization problems, but is at the cost of high computational complexity. To tackle these problems, this paper proposes a novel likelihood matrix based multiple acoustic sources localization algorithm for binary sensor. The fuzzy c-means algorithm is firstly employed to calculate the membership degrees of the alarmed nodes associated with the sources, and then a likelihood matrix is proposed for multiple acoustic sources localization. Simulation and experiment results show that the proposed algorithm provides accurate location estimations.