A method for constructing a cyclic spectrum characteristic parameter extraction model and a method for identifying a signal modulation mode

A technology of characteristic parameters and signal modulation, applied in the field of communication, can solve the problems of inability to cover the signal modulation mode, complicated manual operation, etc., and achieve the effect of omitting redundant steps, reducing training time, and overcoming stationary noise.
CN109818892AInactive Publication Date: 2019-05-28HUAZHONG UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
HUAZHONG UNIV OF SCI & TECH
Publication Date
2019-05-28
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention discloses a method for constructing a cyclic spectrum characteristic parameter extraction model and a method for identifying a signal modulation mode. The method comprises the followingsteps: preprocessing an input modulation signal to obtain a cyclic spectrum; Extracting characteristic parameters of the cyclic spectrum, and training, verifying and testing the CNN model by utilizingthe characteristic parameters to obtain a characteristic parameter extraction model; Inputting the modulation signal into a characteristic parameter extraction model to obtain a characteristic parameter sample set; Training an identification model by taking the characteristic parameter sample set as input and taking a corresponding modulation mode as output so as to obtain a signal modulation mode identification model; Inputting the to-be-detected signal into the characteristic parameter extraction model, inputting the output characteristic parameter into the signal modulation mode recognition model, and obtaining a signal modulation mode of the to-be-detected signal. According to the method, the CNN architecture is adopted to identify the signal modulation mode, and the characteristic extraction of the modulation mode is embedded into the convolutional neural network, so that the characteristics can be automatically extracted in the training process, and the identification of the signal modulation mode is realized.
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Description

technical field

[0001] The invention belongs to the technical field of communication, and more specifically relates to a method for constructing a cyclic spectrum characteristic parameter extraction model and a signal modulation mode identification method. Background technique

[0002] With the advancement of communication technology and the development of various signal modulation methods, current broadband communication systems usually use different modulation methods and modulation parameters for signal modulation. The precondition for receiving and demodulating the signal is to know the modulation mode of the signal and its characteristic parameters, such as signal bandwidth, baud rate and so on. When the modulation method of both the sender and receiver is known, there is no modulation identification problem; but for the situation where the communication modulation method is unknown at the receiver, to demodulate the communication signal, modulation identification must ...

Claims

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