On SNR estimation using IEEE-STD-1057 three-parameter sine wave fit

被引：0

作者：

Negusse, Senay ^{[1
]}

Handel, Peter ^{[1
]}

Zetterberg, Per ^{[1
]}

机构：

[1] ACCESS Linnaeus Ctr, Signal Proc Lab, SE-10044 Stockholm, Sweden

来源：

2013 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) | 2013年

关键词：

Sine-fit algorithm; maximum-likelihood; coherent sampling; Signal-to-Noise Ratio; BIAS;

D O I：

暂无

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

In this paper, theoretical properties of a maximum-likelihood (ML) estimator of signal-to-noise ratio (SNR) is discussed. The three-paremter sine fit algorithm is employed on a finite and coherently sampled measurement set corrupted by additive white Gaussian noise. Under the Gaussian noise model, the least squares solution provided by the three-parameter sine fit is also ML estimator. Exact distribution and finite sample properties of the SNR estimate are derived. Moreover, an explicit expression for the mean squared error (MSE) of the estimator is given. Simulation results are shown to verify the underlying theoretical results.

引用

页码：658 / 661

页数：4

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