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Identification of Frequency-Hopping Spread Spectrum Signals using SVMs with Second Generation Wavelet Kernels

机译:使用具有第二代小波核的SVMS识别跳频扩频信号

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This paper presents a method of using support vector machine (SVM) with Second Generation Wavelet kernel (2G Wavelet kernel) for classification of individual transmitters working in frequency-hopping spread spectrum (FH-SS) modulation. Simulation results show that this method can significantly improve the efficiency of the identification in comparison with those based on First Generation Wavelet kernel (1G Wavelet kernel). Meanwhile, it can also achieve a satisfactory classification rate. Furthermore, the relationship between the classification rate and SNR is also discussed.
机译:本文介绍了一种使用支持​​向量机(SVM)与第二代小波核(2G小波核)的方法,用于在跳频扩频(FH-SS)调制中工作的各个发射器的分类。仿真结果表明,与基于第一代小波核(1G小波核)的那些相比,该方法可以显着提高识别效率。同时,它也可以实现令人满意的分类率。此外,还讨论了分类率和SNR之间的关系。

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