太赫兹频段微动特征边缘检测及提取方法

Micro-Motion Feature Extraction Method Based on Edge Detection in Terahertz Band

  • 摘要: 太赫兹雷达大带宽、高频率等技术特点可以有效提高雷达系统对微动目标的探测精度,使得结合太赫兹雷达开展微动特征提取具有可行性。该文结合典型微动特征模型,针对时频谱曲线的提取,提出了一种基于边缘检测的时频曲线提取算法,进而获得微动特征参数。通过实测数据验证,该方法可有效提取多散射中心微动目标的特征参数,为进一步开展微动信号处理及目标识别提供了有效的技术途径。

     

    Abstract: Terahertz radar features high frequency, large bandwidth, and other characteristics, thus helpful to improve the micro-motion target detection accuracy of radar systems, and feasible to extract the feature of micro-motion target. Combing with the typical micro-motion feature model, we propose a curve extraction algorithm based on the edge detection technique for the extracting the spectrum curves and further obtaining the parameters of micro-motion targets. Real data show that the proposed technique can effectively extract the feature parameters of the micro-motion target with multiple scattering centers. This research provides effective approach for further micro-motion target signal processing and target recognition.

     

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