On Signal-to-Noise Ratio Estimation

被引：3
|
作者：
Papic, Veljko [1 ]
Djurovic, Zeljko [1 ]
Kvascev, Goran [1 ]
Tadic, Predrag [1 ]
机构：
[1] Univ Belgrade, Sch Elect Engn, Belgrade 11120, Serbia
来源：
MELECON 2010: THE 15TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE | 2010年
关键词：
D O I：
10.1109/MELCON.2010.5476314
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A new simple algorithm for estimating signal-tonoise 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.
引用
收藏
页码：160 / 165
页数：6
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