Name
Abstract | ||
|---|---|---|
A maximum likelihood estimator for the local average signal-to-noise ratio in a slowly fading Rician channel is proposed. The probability density function of the estimator is derived and the mean, the variance and the mean square error of the estimator are obtained. The performance of the estimator is examined. Numerical results show the asymptotic optimality of the estimator. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/LCOMM.2005.1411012 | IEEE Communications Letters |
Keywords | Field | DocType |
Maximum likelihood estimation,Fading,Signal to noise ratio,Additive white noise,Gaussian noise,AWGN,Mean square error methods,Wireless communication,Bit error rate,System performance | Efficient estimator,Minimum-variance unbiased estimator,Mean squared error,Bias of an estimator,Estimation theory,Statistics,Mathematics,Rician fading,Consistent estimator,Estimator | Journal |
Volume | Issue | ISSN |
9 | 3 | 1089-7798 |
Citations | PageRank | References |
10 | 0.91 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Norman C. Beaulieu | 1 | 1463 | 163.86 |
| Yunfei Chen | 2 | 120 | 12.92 |