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Bounds on parameter estimation precision for optical ranging systems

机译:光学测距系统参数估计精度的界限

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Many errors contribute to the accuracy of a ranging system, among them calibration and estimation errors. In this paper we address the estimation error contribution of an optical ranging system. We present achievable RMS errors in estimating the phase, frequency, and intensity of a direct-detected intensity-modulated optical pulse train. For each parameter, the Cramèr-Rao-Bound (CRB) is derived and the performance of the Maximum Likelihood estimator is illustrated. Approximations to the CRBs are provided, enabling an intuitive understanding of estimator behavior as a function of the signaling parameters. The results are compared to achievable RMS errors in estimating the same parameters from a sinusoidal waveform in additive white Gaussian noise. This establishes a framework for a performance comparison of radio frequency (RF) and optical science. Comparisons are made using parameters for state-of-the-art deep-space RF and optical links. Degradations to the achievable errors due to clock phase noise and detector jitter are illustrated.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:许多误差会影响测距系统的准确性,其中包括校准和估计误差。在本文中,我们解决了光学测距系统的估计误差贡献。在估计直接检测的强度调制光脉冲序列的相位,频率和强度时,我们提出了可实现的RMS误差。对于每个参数,得出Cramèr-Rao-Bound(CRB),并说明了最大似然估计器的性能。提供了CRB的近似值,可以直观地了解作为信号参数函数的估计器行为。将结果与可达到的RMS误差进行比较,以便根据加性高斯白噪声中的正弦波形估算出相同的参数。这为射频(RF)和光学科学的性能比较建立了框架。使用最先进的深空RF和光学链路的参数进行比较。图示了由于时钟相位噪声和检测器抖动而导致的可实现误差的降低。©(2012)COPYRIGHT光电仪器工程师协会(SPIE)。摘要的下载仅允许个人使用。

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