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Estimation of Measurement Accuracy of Information Signal Parameters at Simultaneous Influence of Multiplicative and Additive Non-Gaussian Noise

机译:乘加性非高斯噪声同时影响下信息信号参数的测量精度估计

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The issues are considered, associated with the estimation of the measurement accuracy of the information parameters of the useful signal in the conditions of simultaneous action of multiplicative and additive noise, which in general have non-Gaussian character of the distribution. Two approaches to representation of the multiplicative noise are analyzed. It is shown that when considering of multiplicative noise in the form of deterministic or quasideterministic process the measurement accuracy is affected as non-Gaussian nature of the additive noise and average power of the multiplicative noise. It is shown that with the increase of the average power of the multiplicative noise effect of non-Gaussian nature of the additive noise on the measurement accuracy is reduced. It is shown that if the multiplicative noise is a random process, then the potential measurement accuracy under its influence can be reduced by more than an order of magnitude. Accounting non-Gaussian character of equivalent noise formed by additive noise and a multiplicative part, leads to a significant reduction in the potential loss of measurement accuracy.
机译:考虑到这些问题,与在乘法噪声和加性噪声同时作用的情况下有用信号的信息参数的测量精度的估计有关,这些噪声通常具有分布的非高斯特性。分析了两种表示乘性噪声的方法。结果表明,当以确定性或准确定性过程的形式考虑乘法噪声时,由于加性噪声的非高斯性质和乘法噪声的平均功率,测量精度会受到影响。结果表明,随着乘法噪声平均功率的增加,加性噪声的非高斯性质对测量精度的影响减小。结果表明,如果乘法噪声是一个随机过程,那么在其影响下的电势测量精度可能会降低一个数量级以上。考虑到由加性噪声和乘性部分形成的等效噪声的非高斯特性,可显着降低潜在的测量精度损失。

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