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.
王令欢; 马红光; 张欣豫; 张葛祥. 基于支持向量聚类的多分量线性调频信号检测[J]. 电子与信息学报, 2007, 29(11): 2661-2664 .
Wang Ling-Huan; Ma Hong-Guang; Zhang Xin-Yu; Zhang Ge-Xiang. Multi-component Linear FM Signal Detection Based on Support Vector Clustering. , 2007, 29(11): 2661-2664 .
2007, Vol. 29 
