Abstract

With the development of electronic jamming technology, more and more active jamming is applied in electronic warfare. Because there are many kinds of jamming in complex electromagnetic environment, it is difficult for radar to recognize all kinds of jamming effectively. In order to solve this problem, seven typical suppression jamming and deception jamming are modeled and simulated in this paper. Then, a set of highly separable features are extracted from the time domain, frequency domain and time-frequency domain, which are sent into decision tree and support vector machine (SVM) for jamming recognition and their recognition accuracy are compared. The simulation results show that under the condition of feature extraction, the recognition accuracy of decision tree for active jamming is higher.

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