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A Method to Detect Multi-components Linear FM Signal

机译:一种多分量线性调频信号的检测方法

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摘要

The support vector clustering (SVC) algorithm was introduced to get the number of the pinnacles in the result of the time-frequency analysis and Radon transform of the multi-components 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, was proposed to improve the computation efficiency. And a novel cluster labeling method was 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.
机译:引入支持向量聚类(SVC)算法,得到了多分量线性调频(LFM)信号的时频分析和Radon变换的结果的顶点数,并完成了对分量的检测。 LFM信号。同时,提出了减少SVC输入数据集点数的预处理方法,以提高计算效率。并提出了一种新的聚类标记方法来改进SVC算法。仿真结果表明,SVC-Radon-时频方法对于低信噪比的多分量LFM信号的检测和参数估计是有效的。

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