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Joint-Time-Frequency Gaussian-Chirplet Procesing Of Coherent Ladar Returns From Resolved Vibrating Diffuse Surfaces

机译:分辨时频振动和散射表面相干雷达回波的联合时频和高斯Chirplet处理

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摘要

Of the standard JTFT's found in the literature, the Born-Jordan JTFT has been shown to be the best for the suppression of local oscillator laser noise while preserving the target signature in CW coherent ladar applications. The JTFT's are superior to spectrogram algorithms but at the cost of additional computation. Processing of the JTFT image (or spectrogram image) maxima at each time point was found to be superior to processing the centroid at each time point. The centroid calculation is biased toward 0 Hz, particularly at low CNR levels. Sinusoidal-FM processing is degraded by the random location of speckle maxima not being near the frequency excursion maxima points where most of the information lies. Linear-FM homodyne (stretch processing) allows a simple summation in time because all the random speckle maxima lie along two frequencies only, resulting in a robust range estimate nearly unaffected by speckle. The Bom-Jordan JTFT tested allows high frequency and temporal resolution of the target spectra. The well resolved time length of the speckle maxima allow an estimate to be made of the target's spectral width, which is due to the spin rate x cross-range dimension in unresolved target scenarios. Given additional information of one of these parameters, the second can be estimated. Resolved target vibration spectra due to piston and higher order mechanical vibration modes can also be efficiently processed for use in autonomous target identification applications. Finally, we note that the technique of Gaussian-chirplet decomposition of a CW coherent ladar's output signal appears to be about as good, with respect to LO noise suppression and signature fidelity, as the Born-Jordan JTFT. This wavelet-like approach is being studied in terms of target feature extraction and target vibration signature construction. The number of numerical operations appears to be less than that of the various JTFT's depending on parameter settings, but is under investigation.
机译:在文献中发现的标准JTFT中,Born-Jordan JTFT已被证明是最佳的抑制本地振荡器激光噪声,同时在CW相干激光应用中保留目标特征的方法。 JTFT优于频谱图算法,但以额外的计算为代价。发现在每个时间点对JTFT图像(或频谱图图像)最大值的处理优于在每个时间点对质心的处理。质心计算偏向0 Hz,尤其是在CNR较低的情况下。由于散斑最大值的随机位置不在大多数信息所在的频率偏移最大值点附近,因此正弦FM处理会变差。线性FM零差(拉伸处理)允许在时间上进行简单的求和,因为所有随机散斑最大值仅位于两个频率上,从而导致几乎不受散斑影响的稳健范围估计。经过测试的Bom-Jordan JTFT可以对目标光谱进行高频和时间分辨。散斑最大值的良好解析时间长度允许对目标的光谱宽度进行估算,这是由于在未解析的目标场景中自旋速率x跨范围尺寸所致。给定这些参数之一的附加信息,可以估计第二个。归因于活塞和更高阶机械振动模式的目标振动频谱也可以得到有效处理,以用于自主目标识别应用。最后,我们注意到,就LO噪声抑制和签名保真度而言,CW相干激光输出信号的高斯Chirplet分解技术似乎与Born-Jordan JTFT一样好。正在从目标特征提取和目标振动特征构建方面研究这种类似小波的方法。取决于参数设置,数值运算的数量似乎少于各种JTFT的数量,但是正在研究中。

著录项

  • 来源
    《》|2003年|P.44-45|共2页
  • 会议地点 Bar HarborME(US)
  • 作者

    Douglas G. Youmans;

  • 作者单位

    SPARTA, Inc., 900 Middlesex Trnpk, Billerica, MA 01821 USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TN958.58;
  • 关键词

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