Modulation Identification Method Based on Wiener Filter Preprocessing

Abstract

The invention relates to a modulation identification method based on Wiener filtering preprocessing to generate a Wiener filter through an ideal signal without interference and a received signal with an interfered signal, and process the interfered signal in the received signal set through the Wiener filter. Obtain the frequency conversion signal corresponding to the interfered signal, and then extract the first high-order cumulant feature in the frequency conversion signal, and use all the first high-order cumulant features in the received signal set as the training set to train the neural network, and obtain the signal classification Model. The modulation identification method based on Wiener filtering preprocessing takes the communication signal to be identified through Wiener filtering and feature extraction to obtain the second high-order cumulant feature as a test set, and inputs the test set into the signal classification model to realize the modulation mode identification of the signal , the method is simple for signal recognition, and solves the problem that the existing communication signal modulation recognition method adopts a cyclostationary theory algorithm, which has high computational complexity and difficult signal recognition.

Description

technical field [0001] The present invention relates to the technical field of communications, in particular to a modulation identification method based on Wiener filtering preprocessing. Background technique [0002] In a communication system, the original electrical signal of the transmitter usually has very low spectral components and is generally not suitable for direct transmission in the channel. Therefore, it is necessary to convert the original signal into a high-frequency signal suitable for channel transmission. This process is called modulation. [0003] In the communication system, the modulation identification of the communication signal refers to the identification and judgment of the modulation mode of the received unknown enemy signal under the condition of non-cooperative communication for subsequent demodulation analysis and information extraction. Signal jamming and interception, radio monitoring and other fields have important applications. However, unde...

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Problems solved by technology

[0006] The embodiment of the present invention provides a modulation recognition method based on Wiener filter preprocessing, which is used to solve the technical problems of high computational complexity and difficult signal recognition when the existing communication signal modulation recognition method adopts a cyclostationary theoretical algorithm.

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