Multi-scale permutation Lempel-Ziv complexity and its application in feature extraction for Ship-radiated noise

Permutation Lempel-Ziv complexity (PLZC) is a recently proposed method for analyzing signal complexity. However, PLZC only characterizes the from single scale and has certain limitations. In order to overcome these shortcomings improve performance of feature extraction underwater acoustic signal, this paper introduced coarse graining operation, multi-scale permutation (MPLZC), an automatic hybrid multi-feature ship-radiated noise (S-S) based on (MLZC), entropy (MPE) MPLZC. The results simulation realistic experiments show that MPLZC can better reflect change in detecting dynamic signals, more effectively distinguish white noise, pink blue than MPE MLZC; compared with three methods MLZC, respectively, highest recognition rates six S-Ss under same number features, rate reaches 100% when features 5; introduction significantly improves method. It indicated method, as new technology, valid other signals.