Underwater acoustic communication signal modulation mode identification method based on improved gating network and residual network

Abstract

The invention discloses an underwater acoustic communication signal modulation mode identification method based on an improved gating network and a residual network. The identification method comprises the following steps: receiving an underwater acoustic signal; improving the gated recurrent neural network to extract time features of the underwater acoustic signals; improving the residual neural network, and introducing a self-attention mechanism to carry out weighted reprocessing to obtain underwater acoustic signal spatial features; based on the correlation between the time features and the spatial features of the underwater acoustic signals, using an adaptive fusion strategy to fuse the obtained time features and the obtained spatial features of the underwater acoustic signals; sending the fused features to a full-connection neural network for network training; and after feature extraction and fusion are carried out on a to-be-recognized underwater acoustic signal, inputting the to-be-recognized underwater acoustic signal to the trained full-connection neural network for recognition, and finally outputting a recognition result. The technical scheme finally realizes underwater acoustic communication modulation mode intelligent identification with strong anti-interference and high accuracy.

Description

technical field [0001] The invention belongs to the technical field of underwater acoustic communication, and in particular relates to an intelligent identification method of an underwater acoustic communication modulation identification mode using an adaptive feature fusion neural network with improved gating network structure and improved residual network structure. Background technique [0002] The automatic identification of modulated signals is an important research field in modern communication technology. At present, the ocean is an important military and economic strategic focus. Underwater wireless data transmission is a key technology for obtaining ocean information and implementing ocean observation. Underwater acoustic communication signal modulation The automatic recognition of the method is of great significance. Because sound waves have good propagation performance in seawater, and the attenuation is small during the propagation process, underwater acoustic co...

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Problems solved by technology

[0004] For the identification of existing underwater acoustic signal modulation methods, the multi-dimensional characteristics of underwater acoustic modulation signals are not fully considered. In the gated recurrent unit neural network, the input and state only interact within the gated unit, which may lead to the loss of information before and after the signal, and a single multi-layer Residual block extraction features have problems such as low recognition accuracy caused by redundancy. The purpose of the present invention is to provide a kind of underwater acoustic communication modulation recognition based on the adaptive feature fusion neural network of improved gating network structure and improved residual network structure. ways to intelligently identify methods to solve the above problems

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