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Application of Bispectrum Estimation for Time-Frequency Analysis of Ground Surveillance Doppler Radar Echo Signals

机译:双谱估计在地面监视多普勒雷达回波信号时频分析中的应用

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A microwave coherent homodyne and polarimetric ground surveillance Doppler radar is employed for collecting the radar returns from moving objects. Nonstationary nonlinearly frequency-modulated and multicomponent backscattered signals are analyzed and described as a sum of Doppler frequency-shifted polynomial chirp-like components. Instantaneous frequencies corresponding to the radiation backscattered by the different parts of a moving spatially distributed object are extracted from the time-varying bimagnitude estimates of transient sample sequences separated from the total received signal by a sliding window and projected into the time-frequency (TF) domain. Experimental investigations demonstrate a clean recovery of evolutionary phase-coupled harmonics for such targets as a swinging metallic sphere or a walking human. The computed TF distributions can be used in radar automatic target recognition systems to retrieve new data for the classification and recognition of ground moving objects.
机译:微波相干零差和极化地面监视多普勒雷达用于收集运动物体的雷达回波。对非平稳非线性调频和多分量反向散射信号进行了分析,并将其描述为多普勒频移多项式线性调频类似分量的总和。从瞬态样本序列的时变双倍估计中提取与移动的空间分布物体的不同部分反向散射的辐射相对应的瞬时频率,该瞬变样本序列通过滑动窗口与总接收信号分离,并投影到时频(TF)中域。实验研究证明,对于诸如旋转的金属球或行走的人等目标,进化相耦合谐波可以完全恢复。计算出的TF分布可用于雷达自动目标识别系统中,以检索新数据以对地面移动物体进行分类和识别。

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