Name
Abstract | ||
|---|---|---|
The problem of estimating two measures of signal-to-noise ratio (SNR) is investigated, both for static and slowly fading channels without memory. Maximum likelihood SNR estimators that use digitally modulated signals are derived for sampled signal processing receivers as well as continuous time signal processing receivers. The performances of the estimators are examined analytically in terms of biases and root-mean-squared errors. Numerical results are presented to show their good performances |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TWC.2007.05098 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
continuous time signal processing,signal sampling,continuous time signal processing receivers,maximum likelihood snr estimator,digitally modulated signals,modulation,maximum likelihood estimation,fading channels,fading channel,sampled signal processing receivers,digitally modulated signal,numerical result,good performance,radio receivers,snr,root-mean-squared errors,root-mean-squared error,signal processing receiver,mean square error methods,signal-to-noise ratio,maximum likelihood estimate,signal to noise ratio,root mean square error,maximum likelihood,signal processing,indexing terms | Efficient estimator,Signal processing,Time signal,Continuous signal,Fading,Signal-to-noise ratio,Mean squared error,Algorithm,Real-time computing,Statistics,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
6 | 1 | 1536-1276 |
Citations | PageRank | References |
17 | 1.16 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunfei Chen | 1 | 120 | 12.92 |
| Norman C. Beaulieu | 2 | 1463 | 163.86 |