ABSTRACT
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.
- Haystead J. DARPA seeks proposals for adaptive radar countermeasures [J]. Journal of Electronic Defense, 2012: 16--18.Google Scholar
- Visnevski N, Haykin S, Krishnamurthy V, et al. Hidden Markov models for radar pulse train analysis in electronic waRFare[C]//IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.Google Scholar
- LIU H J. Researches on identification key technology for radar emitter[D]. Changsha: National University of Defense Technology, 2010.Google Scholar
- CHEN W G, ZHU W G, TANG X J, et al. The application ofstacked denoising autoencoders in waveform unit identification[J]. Journal of Harbin Institute of Technology, 2018, 50(11): 100--106.Google Scholar
- Jerome D V. Tracking the operational mode of multi-fuction radars[D]. Canada: Mcmaster, 2007.Google Scholar
- Cochran D, Suvorova S, Howard S D, et al. Waveform libraries[J]. IEEE Signal Processing Magazine, 2009, 26(1): 12--21.Google ScholarCross Ref
- LI C. The research of radar signal sorting technology [D].Chengdu: University of Electronic Science and Technology, 2015.Google Scholar
- Non-negative matrix factorization with sparseness constraints[J]. Journal of Machine Learning Research, 2004, 5(9): 1457--1469.Google Scholar
- LI W J, YAN S Q, JIANG Y, et al. Research on method of self-adaptive determination of DBSCAN algorithm parameters[J]. Computer Engineering and Applications, 2019, 55(5): 1--7.Google Scholar
- Research on adaptive varied density clustering algorithm based on DBSCAN[D]. Beijing: Beijing Jiaotong University, 2017.Google Scholar
Index Terms
- Radar Word Set Construction Method for Non-Cooperative Multi-functional Radar
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