Estimation of the Influence of Additive and Multiplicative Noise with Low Level on the Accuracy of Measurement of Signal Information Parameter

V. M. Artyushenko, V. I. Volovach
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Abstract

The analysis of the influence of fluctuation stationary multiplicative (modulating) noise acting simultaneously with additive noise on the measurement accuracy of non-energy parameters of information signals is carried out. The term “low” level of noise with the combined effects of multiplicative and additive noise is clarified. It is shown that mathematical characteristics, bias, measurement errors and error dispersion can be used as characteristics of the accuracy of measuring signal parameters at a low level of noise. The structure of the optimal receiving device for measuring one information parameter with a random initial phase against the background of additive noise is obtained. An expression is obtained for the envelope of the signal at the output of the linear part of the optimal meter according to the desired information parameter. It is shown that at a low level of multiplicative and additive noise, the estimate of one parameter of the useful signal is unbiased, and its dispersion is the sum of two terms, the first takes into account the influence of additive noise, the second is multiplicative noise. Expressions are obtained for the variance of the estimation of the information parameter under the simultaneous effect of additive and multiplicative noise. The above expressions show that the variance of errors due to the presence of multiplicative noise significantly depends on the spectral characteristics of the noise modulation function. It is noted that slow multiplicative noise is the most dangerous.
低电平加性和乘性噪声对信号信息参数测量精度影响的估计
分析了波动平稳乘(调制)噪声与加性噪声同时作用对信息信号非能量参数测量精度的影响。术语“低”水平的噪声与乘和加性噪声的综合影响是明确的。结果表明,在低噪声条件下,数学特性、偏置、测量误差和误差色散可以作为测量信号参数精度的特征。得到了在加性噪声背景下测量具有随机初始相位的信息参数的最优接收装置的结构。根据所需的信息参数,得到了最优仪表线性部分输出处信号包络线的表达式。结果表明,在低水平的乘性噪声和加性噪声下,有用信号的一个参数的估计是无偏的,其色散是两项的和,第一项考虑了加性噪声的影响,第二项是乘性噪声的影响。得到了在加性噪声和乘性噪声同时作用下信息参数估计方差的表达式。上述表达式表明,由于乘性噪声的存在,误差的方差很大程度上取决于噪声调制函数的频谱特性。值得注意的是,缓慢的乘法噪声是最危险的。
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