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| Multi-component Linear FM Signal Detection Based on Support Vector Clustering |
| Wang Ling-Huan①; Ma Hong-Guang①; Zhang Xin-Yu①; Zhang Ge-Xiang② |
| ①The Second Artillery Engineering College, Xi’an 710025, China;②School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China |
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Abstract 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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Received: 08 May 2006
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2007, Vol. 29 
