Radar emitter signal analysis with estimation of distribution algorithms

被引：1
作者：
Rong, Haina [1 ]
Cheng, Jixiang [1 ]
Li, Yuquan [1 ]
机构：
[1] School of Electrical Engineering, Southwest Jiaotong University, Chengdu
来源：
Journal of Networks | 2013年 / 8卷 / 01期
关键词：
Estimation of distribution algorithm; Feature extraction; Radar emitter signal; Recognition; Time-frequency atom decomposition;
D O I：
10.4304/jnw.8.1.108-115
中图分类号：
学科分类号：
摘要：
This paper proposes a novel approach (short for iEDA/TFAD) based on estimation of distribution algorithms and time-frequency atom decomposition for analyzing radar emitter signals. In iEDA/TFAD, an improved estimation of distribution algorithm combining Gaussian and Cauchy probability models is presented to implement time-frequency atom decomposition to analyze several typical radar emitter signals by extracting their features and recognizing them. The introduction of iEDA can greatly reduce the computational complexity of TFAD. Experimental results show that EDA/TFAD can efficiently recognize several radar emitter signals at a high correct rate. © 2013 ACADEMY PUBLISHER.
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页码：108 / 115
页数：7
相关论文
共 19 条
  • [1] Granger E., Rubin M.A., Grossberg S., Lavoie P., A what-and-where fusion neural network for recognition and tracking of multiple radar emitters, Neural Networks, 14, 3, pp. 325-344, (2001)
  • [2] Zhang G.X., Jin W.D., Hu L.Z., Resemblance coefficient based intrapulse feature extraction approach for radar emitter signals, Chinese Journal of Electronics, 14, 2, pp. 337-341, (2005)
  • [3] Zhang G.X., Time-frequency atom decomposition with quantum-inspired evolutionary algorithms, Circuits, Systems and Signal Processing, 29, 2, pp. 209-233, (2010)
  • [4] Gulum T.O., Pace P.E., Cristi R., Extraction of polyphase radar modulation parameters using a Wigner-Ville distribution-Radon transform, Proceedings of IEEE International Conference on Acoustics, Speech and Signal, pp. 1505-1508, (2008)
  • [5] Lunden J., Koivunen V., Automatic radar waveform recognition, IEEE Journal of Selected Topics in Signal Processing, 1, 1, pp. 124-136, (2007)
  • [6] Mallat S.G., Zhang Z., Matching pursuits with time-frequency dictionaries, IEEE Transactions on Signal Processing, 41, 12, pp. 3397-3415, (1993)
  • [7] Tcheou M.P., Lovisolo L., da Silva E.A.B., Rodrigues M.A.M., Diniz P.S.R., Optimum rate-distortion dictionary selection for compression of atomic decompositions of electric disturbance signals, IEEE Transactions on Signal Processing Letters, 14, 2, pp. 81-84, (2007)
  • [8] Lopez-Risueno G., Grajal J., Yeste-Ojeda O., Atomic decomposition-based radar complex signal interception, IEE Proceedings-Radar Sonar Navigation, 150, 4, pp. 323-331, (2003)
  • [9] Davis G., Mallat S., Avellaneda M., Adaptive greedy approximation, Journal of Constructive Approximation, 13, 1, pp. 57-98, (1997)
  • [10] Baluja S., Population Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning, (1994)
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