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Detection techniques for validating Doppler estimates in heterodyne lidar

机译：外差激光雷达中用于验证多普勒估计的检测技术

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We investigate the ability of detection techniques based on the likelihood ratio to discriminate between heterodyne lidar Doppler estimates at low signal levels using examples generated by simulation. The distinction between estimates that are regarded as acceptable and as spurious is based on the Cramer-Rao lower bound. The conditional false alarm probability, which ordinarily describes recording detection of a signal when none is present, is then found to be an approximate upper bound on the probability of selection of a spurious estimate. The method is superior theoretically to similar techniques based on detection functions other than the likelihood ratio. The likelihood ratio also provides a basis for reprocessing rejected data in the light of contextual information provided by those estimates that are accepted. (C) 1997 Optical Society of America.
机译：我们使用模拟生成的示例，研究了基于似然比的检测技术在低信号水平下区分外差激光雷达多普勒估计的能力。被认为是可接受的和虚假的估计之间的区别基于Cramer-Rao下限。然后发现有条件的虚警概率（通常描述不存在信号时的记录检测），是选择虚假估计的概率的近似上限。从理论上讲，该方法优于基于似然比以外的检测功能的类似技术。似然比还提供了根据接受的那些估计提供的上下文信息来重新处理拒绝的数据的基础。 （C）1997年美国眼镜学会。

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