Identification of Radar Active Interference Types Based on Three-dimensional Residual Network
Jingyi Wang, Wenhao Dong, Zhiyong Song, Qiang Fu · 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST) · 2021
The complex and changeable radar jamming environment causes the pattern of radar jamming to change, and the recognition of jamming is the prerequisite and key to anti-jamming. This paper proposes a method to classify and discriminate the time series of interference time-frequency images by using a three-dimensional convolution residual network, and realize the classification and discrimination of five new types of active interference. Through simulation experiments and comparison with traditional methods, the effectiveness of the algorithm is verified.