Radar Word Set Construction Method for Non-Cooperative Multi-functional Radar
Liu Yang, Weigang Zhu, Shouye Lv · Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering · 2020
Aiming at the problem that the previous method of solving the optimal radar word based on matching classification technology is not suitable for the non-cooperative Multi-functional radar(MFR), this paper proposes a radar word set construction method based on PRI sequence clustering. The radar word set of MFR is extracted from the data set through PRI type identification, similarity measurement selection and clustering of waveform units. This method does not need to use the prior knowledge of the number and content of radar words, and has good engineering applicability. At the same time, the practicability and effectiveness of the proposed method are verified by the comparison simulation experiment with the traditional clustering algorithms.