Modulation signal identification method of evolutionary long-short term memory network

Abstract

The invention provides a modulation signal identification method for an evolutionary long-short term memory network. The method comprises the following steps: constructing a data set; constructing a target function; initializing parameters of a cheongfish predation searching mechanism; calculating a fitness value, and determining the position of the elite semaphorus and the position of the injured sardine; selecting a sailfish attack selection strategy, and updating the position of the sailfish; pursuing the preys, and updating the position of the sardine; calculating a fitness value, determining the sardines caught by the cheongfish, and determining the positions of the elite cheongfish and the injured sardines; judging whether an iteration termination condition is met, namely, the maximum number of iterations is reached or all the sardine is captured by the cheongfish, if the iteration termination condition is met, continuing to run downwards, otherwise, enabling g to be equal to g + 1, and returning to continue; and training the digital communication signal modulation identification LSTM network with the optimal hyper-parameter by using the training set. According to the method, the optimal LSTM network model parameters are obtained by designing a culture cheongfish predation search mechanism.

Description

technical field [0001] The invention relates to a digital communication signal modulation and identification method based on the evolution of a long-short-term memory network based on a cultural swordfish predation mechanism in a Gaussian noise environment, and belongs to the field of communication signal processing. Background technique [0002] In recent years, with the rapid development of wireless communication technology, electronic technology, signal processing and other technologies, the modulation methods of wireless communication signals have become more and more complex, and the types of modulation signals have also increased. The identification of the modulation mode of the communication signal is to analyze and process the received signal without prior knowledge, so as to determine the modulation type of the signal. It has a wide range of applications in civil and military fields such as jamming illegal radio stations, intercepting and analyzing enemy communicati...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to use the LSTM network model to directly train the original time domain data to obtain the digital communication signal modulation recognition network model for most of the existing communication signal modulation recognition methods that require manual selection and extraction of cumbersome steps

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