Target Detection Method of Underwater Acoustic Signals Based on Energy Entropy of Empirical Mode Decomposition

In order to correctly detect the acoustic signals of underwater target in complicated environment, a novel target detection method of underwater acoustic signals based on energy entropy of empirical mode decomposition (EMD) is proposed, where these intrinsic mode components are decomposed via empirical mode decomposition from original signals and converted into energy feature vectors, and thus the energy features of sub-band frequency can be inspected. The energy entropy of EMD is obtained from these normalized energy feature vectors to detect the target of underwater acoustic signals. The proposed method is applied to the target detection of simulation signal and radiated noise data of underwater target. The experimental results show that this method can effectively obtain the energy feature of sub-band frequency, and greatly optimize the target detection threshold of underwater acoustic signals compared with the wavelet transform method.