跳频信号的自适应谱图分析

Adaptive Frequency-hopping Signals in the Spectrum Analysis

  • 摘要: 基于跳频信号的多分量模型,分析了谱图(Spectrogram)和维格纳分布交叉项特点,提出了自适应谱图的跳频信号时频分析方法.该方法利用最大相关准则,自适应地变化窗函数长度,匹配跳频信号的局域化属性,进而获得较好的时频分辨率.算法性能与平滑伪维格纳分布(SPWVD:Smoothed Pseudo Wigner-Ville Distribution)进行了比较,通过理论研究和仿真分析表明,自适应谱图方法能够反映跳频信号的时频特征,改善了跳频信号的谱图分辨率,提高了参数的估计精度,具有很强的鲁棒性.

     

    Abstract: Based on the frequency-hopping signals in the multi-component model,the spectra(Spectrogram) and the Wigner distribution cross-term features were analyzed,the analysis methods of adaptive spectrum frequency-hopping signals were proposed.The method used the most relevant criteria,adaptive to change window function length,frequency-hopping signals in the local matching of attributes,then got a better time-frequency resolution.Smoothing Algorithm performance and Wigner distribution(SPWVD: Smoothed Pseudo Wigne...

     

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