The Blind Separation of Ship Noise Signal Based on Second Order Nonstationary Statistic
Xiaohui Qu, Zhichao Shan, Chuanfang Wang · International Conference on Electric Information and Control Engineering · 2012
Because of the nonstationary of ship noise, the sensor array signals were separated blindly by second-order nonstationary statistic algorithm. Firstly, the original signals were pre-processed by robust orthogonalization algorithem, and then for the nonstationary of signals, the time-lag covariance matrixes of the pre-processed signals are gotten by segmenting and windowing. The solution to the orthogonalizing separating matrix was transformed as the diagonalization of time-lag covariance matrixes. At last this problem became a subspace fitting question which could be resolved via Gauss-Newton algorithem. The derivation of algorithm to the nonstationary real signal was given. The simulation experiment for separating the three practical ship noises shows the fast convergence rate and good separating effect of the algorithm.