Name
Abstract | ||
|---|---|---|
A novel moment-based m parameter estimator using noisy channel samples is derived. This estimator is simpler than known estimators. Numerical results are presented to demonstrate that, under some practical fading conditions, it outperforms previous estimators. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/LCOMM.2005.05017 | IEEE Communications Letters |
Keywords | Field | DocType |
Parameter estimation,Fading,Rayleigh channels,Noise measurement,Nakagami distribution,Signal to noise ratio,Wireless communication,Probability density function,Density measurement,Data analysis | Efficient estimator,Minimum-variance unbiased estimator,Computer science,Minimax estimator,Algorithm,Real-time computing,Nakagami distribution,Trimmed estimator,Estimation theory,Statistics,Consistent estimator,Estimator | Journal |
Volume | Issue | ISSN |
9 | 5 | 1089-7798 |
Citations | PageRank | References |
7 | 0.60 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunfei Chen | 1 | 120 | 12.92 |
| Norman C. Beaulieu | 2 | 1463 | 163.86 |
| C. Tellambura | 3 | 4889 | 374.02 |