Adaptive acoustic source localization algorithm based on wireless sensor networks
Xi Zhang · Transducer and Microsystem Technologies · 2015
The maximum likelihood( ML) localization algorithm for wireless sensor networks( WSNs) based on acoustic source energy has strong anti-noise ability,high precision,and it is suitable for multiple targets localization at the same time; but it needs large amount of calculation and is not suitable for real-time positioning.Aiming at shortcoming of the existing algorithm,propose a maximum likelihood localization algorithm based on adaptive iteration. The new algorithm treats the cost function as objective function and search target location adaptively in given range of gradient error. Propose variable step size searching algorithm,based on Sigmoid function,in order to improve convergence speed and positioning precision. Simulation experiment result show that compared with the maximum likelihood localization algorithm,the proposed algorithm has less amount of calculation,high positioning precision,so it can meet the requirement of higher positioning precision and speed,has certain practical significance.