Acoustic sounding sensor array calibration is needed before target localization and tracking.The optimal estimation method based on given coordinates of sound source is proposed

which includes model relation between angle of observation and calibration value in Gaussian noise.The cost function is determined by maximum likelihood method.Using particle swarm optimization method to obtain high precision parameter estimation value and achieve adaptive calibration with non-manual non-professional equipment assisted.The experiment and the simulation results demonstrate that the system can achieve stable convergence and accurate calibration with scalability and low time cost to solve practical problem effectively and conveniently.