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Multi-component LFM Signal Feature Extraction Based on Improved Wigner-Hough Transform

机译:基于改进的Wigner-Hough变换的多分量LFM信号特征提取

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摘要

In modern radar reconnaissance system, feature extraction of multi-component LFM signal based on Wigner-Hough transform has been disturbed by the noise. Faced with this problem, firstly, use the improved Sobel operator of digital image processing to detect edge feature of WVD figure of signal with noise, and then search local max in parameter space though Hough transform. Finally through computer simulation of the WHT, SPWD-Hough and improving WHT, feature extraction result of multi-component LFM signal using improved WHT is proved best. The method computes fast and noise can be suppressed efficiently.
机译:在现代雷达侦察系统中,基于Wigner-Hough变换的多分量LFM信号特征提取已受到噪声的干扰。面对这个问题,首先,使用改进的Sobel数字图像处理算子来检测带有噪声的WVD信号图的边缘特征,然后通过霍夫变换在参数空间中搜索局部最大值。最后通过对WHT,SPWD-Hough的计算机仿真以及对WHT的改进,证明了使用改进的WHT对多分量LFM信号进行特征提取的效果最好。该方法计算速度快,可以有效地抑制噪声。

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