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1.发明授权公开(公告)号：US11909563B2
公开(公告)日：2024-02-20
申请号：US17440120
申请日：2020-07-30
Inventor： Zhiyong Feng , Sai Huang , Rui Dai , Ping Zhang , Fan Ning , Qixun Zhang , Yifan Zhang , Zhiqing Wei
CPC classification number: H04L25/0254 , G06N3/045 , G06N3/08 , H04L27/0012
Abstract: The embodiments of the present application provide a method and apparatus for modulation recognition of signals based on cyclic residual network, the method comprises: obtaining a signal matrix of a to-be-recognized signal, and extracting real part information and imaginary part information of the signal matrix; generating, according to extracted real part information and imaginary part information, a real-and-imaginary-part feature matrix of the to-be-recognized signal; converting, according to a preset matrix conversion method, the real-and-imaginary-part feature matrix into an amplitude-and-phase feature matrix; and inputting the amplitude-and-phase feature matrix into a pre-trained cyclic residual network to obtain a modulation mode corresponding to the to-be-recognized signal. In the embodiments of the present application, the processing of the to-be-recognized signal is simple and easy to operate, in which neither complex algorithms nor manual processing is required, the flexibility of recognition is high, and the result of modulation recognition of the to-be-recognized signal can be accurately obtained.
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2.发明申请公开(公告)号：US20220191066A1
公开(公告)日：2022-06-16
申请号：US17440120
申请日：2020-07-30
Inventor： Zhiyong Feng , Sai Huang , Rui Dai , Ping Zhang , Fan Ning , Qixun Zhang , Yifan Zhang , Zhiqing Wei
Abstract: The embodiments of the present application provide a method and apparatus for modulation recognition of signals based on cyclic residual network, the method comprises: obtaining a signal matrix of a to-be-recognized signal, and extracting real part information and imaginary part information of the signal matrix; generating, according to extracted real part information and imaginary part information, a real-and-imaginary-part feature matrix of the to-be-recognized signal; converting, according to a preset matrix conversion method, the real-and-imaginary-part feature matrix into an amplitude-and-phase feature matrix; and inputting the amplitude-and-phase feature matrix into a pre-trained cyclic residual network to obtain a modulation mode corresponding to the to-be-recognized signal. In the embodiments of the present application, the processing of the to-be-recognized signal is simple and easy to operate, in which neither complex algorithms nor manual processing is required, the flexibility of recognition is high, and the result of modulation recognition of the to-be-recognized signal can be accurately obtained.
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