Characteristic Function Based Parameter Estimation for Ocean Ambient Noise

Abstract

The parameter initializations play an important role in the iteration of parameter estimation. Based on characteristic function, a parameter estimation method for Class B noise considering the parameter initialization is presented in this paper. The noise is firstly considered as the symmetric alpha stable (SαS) distribution. With the log method, we get the estimated parameters, which are further used as the parameter initial values of iteration. It improves the convergence speed. The processing results of simulated data indicate that the parameters of Class B noise can be efficiently estimated with the presented method.