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Sensitivity analysis of an estimator-correlator for the detection of spread targets with multiple discrete highlights.

机译:估计相关器的灵敏度分析,用于检测具有多个离散高光的散布目标。

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摘要

The maximum-likelihood sense optimum detector for the detection of randomly fluctuating multiple highlight objects in Gaussian reverberation and noise is an Estimator-Correlator (EC). If a large time-bandwidth signal is used, a conventional matched-filter detector can spread scattered energy into multiple detector bins, resulting in lower output in each bin than if all the energy had been concentrated in just one.; The wideband, or Wavelet Transform Domain EC (WTD-EC) recombines the detection statistics from discrete highlights into a single detection statistic, possibly dramatically improving detector performance as characterized by the Receiver Operator Characteristics (ROC). Implementation of the estimator branch of the EC requires an a priori estimate of the second order statistics of the echo, i.e. the covariance function or scattering function. Scattering functions are used as prior statistics because they are physically meaningful, robust statistical characterizations of distributed scatterers. A critical issue in the implementation of the WTD-EC is the sensitivity of its performance to the errors in a priori statistical model.; This thesis analyzes the sensitivity of the WTD-EC to the errors in assumed target scattering function. Analytic expressions and verified numerical code are developed for the computation of ROC curves for arbitrary target scattering functions, reverberant scattering functions, and wideband transmitted signals. The sensitivity of the detector is found by deriving an expression for the ROC when the assumed scattering function is not the correct scattering function.; It is demonstrated that the WTD-EC can not be characterized by a scalar figure of merit, and that only a ROC curve is adequate to characterize the performance of the detector. It is demonstrated that the sensitivity closely mimics the autoambiguity of the transmit signal. It is shown that, to some extent, one can trade time-bandwidth for robustness to error. It is demonstrated that making a scattering function estimate is always better than not doing so. Finally, one need only estimate the position of target scatterers. It is s not necessary to estimate the reverberation scatterers, or the relative magnitude of the target scattering highlights.
机译:用于检测高斯混响和噪声中随机波动的多个高光对象的最大似然感最佳检测器是估计相关器(EC)。如果使用较大的时间带宽信号,则常规的匹配滤波器检测器可以将分散的能量散布到多个检测器仓中,从而导致每个仓中的输出都比所有能量仅集中在一个中时要低。宽带或小波变换域EC(WTD-EC)将来自离散高光的检测统计信息重新组合为单个检测统计信息,从而可以显着提高接收器操作员特征(ROC)所表征的检测器性能。 EC的估计器分支的实现需要对回波的二阶统计量进行先验估计,即协方差函数或散射函数。散射函数用作先验统计信息,因为它们在物理上是有意义的,是分布式散射体的可靠统计特征。 WTD-EC实施中的一个关键问题是其性能对先验统计模型中的错误的敏感性。本文分析了WTD-EC对假定目标散射函数误差的敏感性。开发了解析表达式和经过验证的数字代码,用于计算任意目标散射函数,混响散射函数和宽带传输信号的ROC曲线。当假定的散射函数不是正确的散射函数时,可通过推导ROC的表达式来求出检测器的灵敏度。证明了WTD-EC不能用标量品质因数来表征,并且只有ROC曲线足以表征检测器的性能。已经证明,灵敏度紧密地模拟了发射信号的自模糊性。结果表明,在某种程度上,可以以时间带宽换取对错误的鲁棒性。已经证明,进行散射函数估计总是比不进行估计更好。最后,只需要估计目标散射体的位置即可。不需要估计混响散射体或目标散射高光的相对大小。

著录项

  • 作者

    Schwenke, Roger W.;

  • 作者单位

    The Pennsylvania State University.;

  • 授予单位 The Pennsylvania State University.;
  • 学科 Physics Acoustics.; Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 99 p.
  • 总页数 99
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 声学;无线电电子学、电信技术;
  • 关键词

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