The invention provides a communication
radiation source individual identification method based on
time domain and
time sequence coding
constellation diagram
feature fusion. The method is used for realizing stable identification of different transmitters under non-ideal conditions of
carrier frequency offset,
noise interference and the like. The method comprises the following steps: firstly, carrying out normalization and fixed-length interception on a received I / Q
signal, and calculating an
oversampling multiple according to a
symbol rate and a
time resolution; then, a
time domain and
time sequence coding
constellation diagram double-
branch feature extraction network is constructed, a
time domain structure feature is extracted from a time domain
branch by adopting a one-dimensional modified ResNet18, and a
constellation diagram with
time information is generated from a
time sequence coding
constellation diagram branch through a time sequence coding constellation module and the feature that the phase changes along with time is extracted; and carrying out joint modeling on the two types of features through a trainable weighted
fusion mechanism. In the training stage, the performance of the model is improved by adopting
cross entropy loss, an Adam optimizer, learning rate scheduling and an early stop strategy. In the reasoning process, input signals are classified by using the model weight with the highest
verification accuracy, and a communication
radiation source individual identification result is output. Experimental results show that the method can effectively enhance the
frequency offset robustness and generalization ability of the model, realizes high-precision identification of the individual communication
radiation source, and is suitable for the fields of security access of
the Internet of Things, spectrum monitoring, electronic countermeasures and the like.