| Citation: | WANG Guohong, BAI Jie, ZHANG Xiangyu, et al. Detection and classification algorithm of suppression interference based on characteristic differences of FRFT domain[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(6): 1124-1132. doi: 10.13700/j.bh.1001-5965.2017.0423(in Chinese)
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Aimed at the problem that the reliability of the active suppression interference classification recognition result is low when the jamming-signal-ratio is unknown, a detection and classification algorithm of suppression interference based on characteristic differences of FRFT domain was proposed.Firstly, the existence judgment of suppression interference was carried out by the sequential decision algorithm of FRFT domain peak order to ensure that the suppression interference classification was carried out under the condition of high jamming-signal-ratio.On this basis, the standard deviation of the extreme value orders and the peak orders in FRFT domain were taken as the classification features, and at the same time, in order to avoid the classification error caused by the hard decision, the fuzzy decision method was used to obtain the classification recognition results which are based on different characteristic parameters.Finally, the two kinds of classification recognition results were merged to improve the accuracy of classification recognition results according to certain criteria.The simulation results show that compared with the existing classification algorithm, this algorithm can solve the problem of low confidence in the classification results.At the same time, this algorithm has a high accuracy of classification.
| [1] |
赵国庆.雷达对抗原理[M].西安:西安电子科技大学出版社, 2012:122-123.
ZHAO G Q.Principle of rdar countermeasure[M].Xi'an:Xidian University Press, 2012:122-123(in Chinese).
|
| [2] |
MA J, HUANG G, ZUO W, et al.Robust radar waveform recognition algorithm based on random projections and sparse classification[J].Radar Sonar & Navigation IET, 2014, 8(4):290-296. http://ieeexplore.ieee.org/articleDetails.jsp?arnumber=6825702
|
| [3] |
TANG Z, ZHANG B, LI G Q. Radar active blanket jamming sorting based on resemblance coefficient cluster[C]//IEEE International Conference on Signal Processing. Piscataway, NJ: IEEE Press, 2013: 1-6.
|
| [4] |
杜东平. 雷达压制式干扰抑制算法研究[D]. 成都: 电子科技大学, 2008: 11-21.
DU D P. Research on radar suppress interference suppression algorithm[D]. Chengdu: University of Electronic Science and Technology, 2008: 11-21(in Chinese).
|
| [5] |
LU L, YANG J, WANG H, et al. The analysis and feature extraction of nonstationary random characteristics of radar jammer signal[C]//International Symposium on Electromagnetic Compatibility. Piscataway, NJ: IEEE Press, 2002: 660-663.
|
| [6] |
HAYKIN S, BHATTACHARYA T K. Modular learning strategy for signal detection in a nonstationary environment[C]//MILCOM 97-Proceedings. Piscataway, NJ: IEEE Press, 1997, 3: 1113-1116.
|
| [7] |
ZHU H, JIANG G, ZHANG H.Existence detection of blanket jamming based on fractal characteristics in FRFT domain[J].High Power Laser and Particle Beams, 2016, 28(5):1-7. http://www.cqvip.com/QK/93571X/201605
|
| [8] |
WANG J H, XIE F, WANG Y C, et al. LFM radar signal processing based on multi-model Kalman filter[C]//International Conference on Intelligent Computation Technology and Automation. Piscataway, NJ: IEEE Press, 2011: 592-595.
|
| [9] |
QIAN R, GAO Y, JIANG D, et al.Implementation of wideband digital transmitting beamformer based on LFM waveforms[J].IET Signal Processing, 2016, 11(2):11-14. https://www.researchgate.net/scientific-contributions/2128332626_Defu_Jiang
|
| [10] |
WU H, ZHAO H Z. Modeling and simulation of a full coherent LFM pulse radar system based on Simulink[C]//International Conference on Measurement, Information and Control. Pisca-taway, NJ: IEEE Press, 2013: 95-99.
|
| [11] |
LIU D, LIU Y, CAI H, et al. Linear frequency-modulated continuous wave active sonar signal processing[C]//Oceans Conference. Piscataway, NJ: IEEE Press, 2014: 1-5.
|
| [12] |
陈小龙, 关键, 刘宁波, 等.基于FRFT的LFM信号自适应滤波算法及分析[J].现代雷达, 2010, 32(12):48-53. doi: 10.3969/j.issn.1004-7859.2010.12.011
CHEN X L, GUAN J, LIU N B, et al.Adaptive filtering algorithm for LFM signal and performance analysis based on FRFT[J].Modern Radar, 2010, 32(12):48-53(in Chinese). doi: 10.3969/j.issn.1004-7859.2010.12.011
|
| [13] |
陶然, 邓兵, 王越.分数阶傅里叶变换及其应用[M].北京:清华大学出版社, 2004:55-57.
TAO R, DENG B, WANG Y.Fractional Fourier transform and its applications[M].Beijing:Tsinghua University Press, 2004:55-57(in Chinese).
|
| [14] |
YANG Y, WU Y, ZHANG H, et al.Improved sequential extraction method for determination of alkali and alkaline earth metals in Zhundong coals[J].Fuel, 2016, 181:951-957. doi: 10.1016/j.fuel.2016.05.014
|
| [15] |
LINN C, WERTH D. Sequential anomaly detection techniques in business processes[M]//ABRAMOWICZ W, ALT R, BOGDAN F. Business information systems workshops. Berlin: Springer, 2016: 196-208.
|
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