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Volume 29 Issue 11
Jan.  2011
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Wang Ling-Huan, Ma Hong-Guang, Zhang Xin-Yu, Zhang Ge-Xiang. Multi-component Linear FM Signal Detection Based on Support Vector Clustering[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2661-2664. doi: 10.3724/SP.J.1146.2006.00617
Citation: Wang Ling-Huan, Ma Hong-Guang, Zhang Xin-Yu, Zhang Ge-Xiang. Multi-component Linear FM Signal Detection Based on Support Vector Clustering[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2661-2664. doi: 10.3724/SP.J.1146.2006.00617

Multi-component Linear FM Signal Detection Based on Support Vector Clustering

doi: 10.3724/SP.J.1146.2006.00617
  • Received Date: 2006-05-08
  • Rev Recd Date: 2007-01-12
  • Publish Date: 2007-11-19
  • The Support Vector Clustering (SVC) algorithm is introduced to get the number of the pinnacles in the result of the time-frequency analysis and Radon transform of the multi-component Linear FM (LFM) signal, and to finish the detection of the components of the LFM signal. Meanwhile, the preprocessing to reduce the points number of the input data-set for SVC is proposed to improve the computation efficiency. And a novel cluster labeling method is developed to improve the SVC algorithm. The simulation results depict that the SVC-Radon-time-frequency approach is efficient for the detection and parameter estimation of the multi-components LFM signal with low SNR.
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  • Wood J C and Barry D T. Linear signal synthesis using the Radon-Wigner transform[J].IEEE Trans. on Signal Processing.1994, 42(8):2105-2111[2]Li Y X and Yi M. Recursive filtering Radon-Ambiguity trans- form algorithm for multi-LFM signals detection. Proc. Of IEEE 2002 International Conference on Communications, Circuits and Systems and West Sino Expositions, Chengdu, China, 2002, (2): 1050-1053.[3]郭汉伟, 王岩. 基于小波Radon变换检测线性调频信号. 国防 科技大学学报, 2005, 25(1): 91-94. Guo H W and Wang Yan. Linear chirp signals detection by wavelet Radon transform. Journal of National University of Defense Technology, 2005, 25(1): 91-94.[4]章步云, 刘爱芳. 基于Radon-STFT的多分量线性调频信号检测与参数估计. 探测与控制学报, 2003, 25(3): 30-33. Zhang B Y and Liu A F. Multicomponent LFM signal detection and parameter estimationbased on Radon-STFT. Journal of Detection Control, 2003, 25(3): 30-33.[5]Ben-Hur A and Horn D. Support vector clustering. Journal of Machine Learning Research, 2001, (2): 125-137.[6]Ben-Hur A and Horn D. Support vector method for hierarc- hical clustering. Advances in Neural Information Processing Systems, 2001, (13): 367-373.[7]Tax D M J and Duin R P W. Support vector domain descrip- tion[J].Pattern Recognition Letters.1999, 20(11~13):1191-1199[8]Yang J.[J].Estivill-Castro V, and Chalup S K. Support vector clustering through proximity gaph modelling. Proc. Ninth Intl Conf. Neural Information Processing.2002,:-[9]张贤达, 保铮. 非平稳信号分析与处理[M]. 北京: 国防工业出版社, 1998: 1-180.[10]向敬成, 张明友. 雷达系统. 北京: 电子工业出版社, 2001. 5: 112-130.
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