Comparative analysis of application of different DOA algorithms in underwater acoustic signals
Direction of arrival(DOA)estimation is a focus of research in the field of array signal processing,and it is also one of the commonly used localization methods in the field of underwater acoustics.Among them,the most classic ones are the conventional beamforming algorithm(CBF),the multiple signal classification algorithm(MU-SIC)and the rotation invariant subspace algorithm(ESPRIT).Based on the particularity of the underwater acoustic channel,the application fields and applicable conditions of different DOA estimation methods are different.This pa-per compares the theoretical and application performance of various existing DOA estimation methods for underwater acoustic signals.Through simulation analysis,different DOA estimation methods are determined.The optimal appli-cation environment of the estimation method in the analysis of underwater acoustic signals provides a basis for the subsequent applications such as localization and detection of underwater sound sources.
DOA estimationunderwater acoustic signalCBFMUSICESPRIT
万方数据
维普
