While using distributed microphone array to locate target sound source

least-square estimation algorithm is often used in order to make the locating errors smallest.However

the algorithm can lead to the more farther away the node from target sound source

the larger effect on locating results.If the priority to select the node closer to the target sound source to calculate

but will inevitably lead to waste localization information of some node

which doesn’t participate in operation.Aiming at this problem

nonlinear programming model for distributed acoustic location is founded.Simulation results show that the effect of remote node farther away from the target sound source on localization precision is smaller than the least squares method;and this method can effectively improve localization precision when a small number of nodes in the monitoring area is available.