Radar Jamming Recognition Method Based on Fuzzy Clustering Decision Tree
Yuning Wei, Yong Li, Jindong Zhang · 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) · 2019
Aiming at the problem that the traditional classifier based on decision tree for radar jamming recognition needs prior information and manual intervention, a jamming signal recognition method based on fuzzy clustering decision tree is proposed in this paper. After establishing multidimensional sets of parameter features of the jamming signal which are extracted from both time and frequency domain, the Fuzzy C-means (FCM) clustering algorithm is then employed in building the decision tree. Moreover, the improved ID3 standard based on information gain is also used to complete the fuzzy clustering decision tree. The improved method realizes an automatic design of decision trees which avoids using any prior knowledge in selecting the decision threshold. Computer simulation verifies the effectiveness of this method.