VSPSA for acoustic source localization in wireless sensor networks

Acoustic source localization is one of the important applications of wireless sensor networks. Among the energy based acoustic source localization methods, Maximum Likelihood (ML) is known as an accurate algorithm, while its computation cost is high. Expectation Maximization (EM) algorithm reduces the computing complexity, but it is easy to trap into local optimum. In this paper, we propose a Simultaneous Perturbation Stochastic Approximation …