基于改进Wigner-Hough变换的多分量 LFM信号特征提取

Multi-Component LFM Signal Feature Extraction Based onImproved Wigner-Hough Transform

  • 摘要: 为了解决Wigner-Hough变换对多分量线性调频(LFM)信号特征提取受噪声困扰的问题,提出采用数字图像处理中改进的Sobel算子对含噪声信号的WVD时频图进行边缘特征检测,利用Hough变换对信号特征进行提取.通过对WHT,SPW D -Hough变换以及改进WHT 3种方法进行计算机仿真比较结果表明,改进的WHT对多分量LFM信号的特征提取效果最好.

     

    Abstract: Feature extraction of multi-component LFM signal based on Wigner-Hough transform is generally plagued by noises. Faced with this problem, the improved Sobel operator of digital image processing is used to detect edge features of Wigner-Ville distribution(WVD) figure of signals with noise, and then signal characteristics can be extracted well and truly under Hough transform. Through computer simulation of the Wigner-Hough transform(WHT), SPW D -Hough transform and improving WHT, feature extraction result of multi-component LFM signal using improved WHT proved to be the best.

     

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