Dynamic Prediction of Full-Ocean Depth SSP by A Hierarchical LSTM: An Experimental Result
Dynamic Prediction of Full-Ocean Depth SSP by A Hierarchical LSTM: An Experimental Result
Sound speed profile (SSP) distribution is an important parameter for underwater positioning, navigation and timing (PNT) because it affects the propagation mode of underwater acoustic signals. To accurately predict future sound speed distribution, we propose a hierarchical long short–term memory (H–LSTM) neural network, which explores the distribution pattern of sound …