Active interference identification method based on bilinear efficient neural network
A neural network and active jamming technology, which is applied in the field of radar jamming signal identification, can solve problems such as low accuracy, limited jamming types, and insufficient intelligence in jamming signal identification, achieving high precision and breaking through application limitations.
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[0039]The invention will be further described below with reference to the accompanying drawings.
[0040]The present invention belongs to the field of radar interference signal identification. The present invention designs an active interference identification method based on a bilinear high-efficiency neural network, transforms a one-dimensional interference signal through a time-frequency transform into a time-frequency image, on the basis of the network of EfficientNet-B3, combines attention mechanism and Feature Dual Extraction, using a deep learning network for efficient classification recognition. This invention does not require a prior knowledge of signal characteristics, with a certain robustness under low dry noise ratio, breaks through the application limitations of existing radar active interference identification methods.
[0041]The object of the present invention is to achieve: mainly includes the steps of:
[0042]Step 1. Establish a mathematical model of radar interference si...
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