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Sinusoidal frequency modulation fourier transform and micro-Doppler spectrum estimation of vibrating vehicles

机译:振动车辆的正弦调频傅里叶变换和微多普勒频谱估计

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Vibration signature extraction and vehicle type identification are traditional aspirations in micro-Doppler domain. Radar echoes from vibrating targets can be modeled as frequency-modulated signals, with micro stochastic Doppler components in phase item. In this work, the sinusoidal frequency modulation Fourier transform (SFMFT) in sinusoidal frequency modulated signal space is proposed, which owns significant advantages in analyzing faint and complicate phase modulation signals. SFMFT provides a straightforward and effective approach to analyze the arbitrary frequency modulation signals. This method improves the estimate precision and reduces the requirement of radar working frequency band. Simulations of vibration spectrum extraction indicate the effectiveness of the model and method proposed in this work.
机译:振动信号提取和车辆类型识别是微多普勒领域的传统愿望。来自振动目标的雷达回波可以建模为调频信号,相位项中具有微随机多普勒分量。在这项工作中,提出了正弦调频信号空间中的正弦调频傅里叶变换(SFMFT),它在分析微弱和复杂的相位调制信号方面具有显着的优势。 SFMFT提供了一种简单有效的方法来分析任意频率调制信号。该方法提高了估计精度,降低了对雷达工作频段的要求。振动谱提取的仿真表明了本文提出的模型和方法的有效性。

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