On signal-to-noise ratio estimation

机译：信噪比估算

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A new simple algorithm for estimating signal-to-noise ratio (SNR) for a signal consisting of one sinusoid in white Gaussian noise is proposed in this paper. Algorithm is based on autocorrelation and modified covariance methods for AR (Autoregressive) spectral estimation. The validity of the algorithm is examined by comparing its SNR estimate with SNR estimate obtained by sinusoid magnitude estimation using Pisarenko harmonic decomposition method and noise variance estimation using modified covariance method. By a large number of simulations this algorithm has proven itself as a comparably precise even in case of significantly noise-contaminated sinusoidal signal.

机译：提出了一种新的简单算法，用于估计由高斯白噪声中的一个正弦波组成的信号的信噪比（SNR）。该算法基于自相关和改进的协方差方法进行AR（自回归）光谱估计。通过比较算法的SNR估计值与使用Pisarenko谐波分解方法的正弦幅度估计和使用改进的协方差方法的噪声方差估计获得的SNR估计值，来检验算法的有效性。通过大量的仿真，即使在严重受噪声污染的正弦信号的情况下，该算法也证明了自己的精确度。

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来源
《MELECON 2010;IEEE Mediterranean Electrotechnical Conference》|2010年|p.160-165|共6页
会议地点 Valletta(MT)
作者
Papic V.; Djurovic Z.; Kvascev G.; Tadic P.;
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作者单位

Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia;

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原文格式 PDF
正文语种 eng
中图分类真空电子技术;
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On signal-to-noise ratio estimation

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