The application discloses a robustness method for interference recognition in a new environment and belongs to the field of
signal interference. The application firstly sets an interference recognition model based on a
convolutional neural network, adopts collected signals in a
quiet period as a first
training set, and performs basic training on the interference recognition model; then adopts collected signals in a non-
quiet period as a second
training set, performs second training on the interference recognition model trained in step 2, and takes the interference recognition model trained in the second time as an interference recognizer; wherein the
loss function and the optimization function used in the second training and the basic training are the same, and the learning rate used in the second training process is lower than the learning rate used in the basic training; after pre-
processing the
signal to be recognized, the
signal is input into the interference recognizer to obtain a recognition result. The application has good interference recognition effect, and is suitable for interference recognition in a new environment, such as when the channel environment changes and the
noise changes.