Underwater acoustic signal modulation mode inter-class identification method based on improved dense neural network

Abstract

The invention discloses an underwater acoustic signal modulation mode inter-class identification method based on an improved dense neural network. The method comprises the following steps: firstly receiving a to-be-identified underwater acoustic modulation signal, and extracting the features of the underwater acoustic modulation signal; carrying out dimension reduction and denoising on underwater acoustic modulation signal features by using a principal component analysis method; carrying out normalization and dimension change; based on the dense neural network, removing the pooling layer to obtain an improved dense neural network, and training the neural network; and inputting the processed underwater acoustic modulation signal features into the trained improved dense neural network, and finally completing modulation mode inter-class identification. Low-delay and high-accuracy inter-class recognition of the underwater acoustic signal modulation mode is finally realized, and the recognition method is high in anti-interference capability, low in calculation cost and high in recognition accuracy.

Description

technical field [0001] The invention belongs to the technical field of underwater acoustic communication, and in particular relates to an inter-class identification method of an underwater acoustic signal modulation mode based on an improved dense neural network. Background technique [0002] Underwater wireless data transmission technology is the key technology for building a maritime power. Underwater acoustic communication has become the most widely used underwater communication method due to its advantages of low propagation loss and long transmission distance. At present, Adaptive modulation coding (AMC) technology, which can select the modulation mode according to the channel conditions, has been widely used in underwater acoustic communication systems. This technology requires the communication parties to match the modulation mode through multiple handshakes. The channel environment may cause errors in the handshake signal, causing the receiving end to adopt a mismat...

AI Technical Summary

Problems solved by technology

[0004] Aiming at technical problems such as poor anti-interference ability, high calculation cost, and low recognition accuracy of existing underwater acoustic signal modulation method class recognition methods, the purpose of the present invention is to provide an underwater acoustic signal modulation class based on an improved dense neural network. identification method to solve the above problems

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