A method for realizing modulation recognition of 2ask signal and am signal combined with neural network
A neural network and signal modulation technology, applied in modulation type identification, modulation carrier system, digital transmission system, etc., can solve the problem of signal loss without considering the dynamic change of amplitude, cumulative frequency offset affecting code rate and sampling rate, and recognition accuracy. lower problem
Active Publication Date: 2022-03-01
成都华日通讯技术股份有限公司
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[0009] The purpose of the present invention is to provide a method for realizing 2ASK signal and AM signal modulation recognition in combination with neural network, which is used to solve the existing problems in AM and 2ASK recognition in the prior art without considering the dynamic change of amplitude, the influence of cumulative frequency offset, the code rate and the Factors such as loss of signal when the sampling rate does not match, and the problem of low recognition accuracy under low signal-to-noise ratio
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Embodiment 1
[0039] combined with figure 1 As shown, a method for realizing 2ASK signal and AM signal modulation recognition combined with neural network, specifically includes:
[0040] 1. Perform IQ demodulation on the modulated signal received by the receiver, and obtain the discrete data sequences of the I channel and the Q channel respectively: specifically, multiply the received carrier signal by the sine function and the cosine function, and perform integral operations respectively , in this example, for the convenience of demonstration and explanation, it is assumed that the IQ data sequence with a length of 2*n is I 1 ,Q 1 ,I 2 ,Q 2 ,I 3 ,Q 3 …I n ,Q n ;
[0041] 2. Normalize the complex IQ sequence composed of the I road and the Q road, specifically:
[0042] will get I 1 ,Q 1 ,I 2 ,Q 2 ,I 3 ,Q 3 …I n ,Q n Sequences are combined into complex sequences of length n: I 1 +j*Q 1 ,I2 +j*Q 2 ,I 3 +j*Q 3 …I n +j*Q n , and normalize the modulus length of each comp...
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The invention discloses a method for realizing modulation and recognition of 2ASK signals and AM signals in combination with a neural network. IQ sequence normalization processing; clustering the time-continuous IQ coordinate points on the complex number plane; rotating the IQ points on the coordinate plane, using the offset angle of each point cluster relative to the positive semi-axis of the real axis to All the IQ points near the point clusters are rotated and moved to offset the frequency offset; the rotated IQ points are converted into signal density maps; the convolutional neural network model is created as a signal classification recognition model, and the density maps of AM signals and 2ASK signals Classify and identify. The invention can effectively realize the identification of the modulation mode of 2ASK signal and AM signal under the non-ideal conditions such as low signal-to-noise ratio, frequency deviation of received signal, incomplete signal and the like.
Description
technical field [0001] The invention relates to the technical field of radio communication, specifically, a method for realizing modulation recognition of 2ASK signals and AM signals in combination with a neural network. Background technique [0002] The identification of communication signal modulation is an important subject of signal processing research, which is widely used in military and civilian fields. With the rapid development of communication technology, the system and modulation styles of communication signals have become more complex and diverse, and the signal environment has become increasingly dense, making it difficult for conventional identification methods and theories to adapt to actual needs and effectively identify communication signals. At present, the commonly used algorithms for identifying AM and 2ASK are: [0003] 1. Decision recognition based on traditional expert features such as signal instantaneous amplitude and decision threshold; [0004] 2...
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IPC IPC(8): H04L27/00
CPCH04L27/0012
Inventor 吕志良唐珂陈曾张笑语
Owner 成都华日通讯技术股份有限公司