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CramÉr–Rao Lower Bound for Parametric Estimation of Quantized Sinewaves

机译:CramÉr–Rao下界用于量化正弦波的参数估计

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摘要

In this paper, the Crameacuter-Rao Lower Bound (CRLB) for the parametric estimation of quantized sinewaves is analyzed, including the effect of analog-to-digital-converter (ADC) noise. An accurate model based on the statistical properties of quantized data is presented, which takes into account both the effects of the finite ADC resolution and of the quantizer overloading phenomena at a low computational cost. Then, the model is validated by comparing the obtained results with the CRLB based on the ADC uniform noise model
机译:本文分析了用于量化正弦波参数估计的Crameacuter-Rao下界(CRLB),包括模数转换器(ADC)噪声的影响。提出了一种基于量化数据统计特性的准确模型,该模型同时考虑了有限ADC分辨率和量化器过载现象的影响,而且计算成本较低。然后,通过将获得的结果与基于ADC均匀噪声模型的CRLB进行比较来验证模型

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