Abstract
In this letter we study the statistical performance of two moment-based estimators for the K parameter of Rice fading distribution, as less complex alternatives to the maximum-likelihood estimator. Our asymptotic analysis reveals that both estimators are nearly asymptotically efficient, and that there is a compromise between the computational simplicity and the statistical efficiency of these two estimators. We also show, by Monte Carlo simulation, that the fading correlation among the envelope samples deteriorates the performance of both estimators. However, the simpler estimator, which employs the second and the fourth moments of the signal envelope, appears to be more suitable for real-world applications.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 92-94 |
| Number of pages | 3 |
| Journal | IEEE Communications Letters |
| Volume | 5 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2001 |
Bibliographical note
Funding Information:Manuscript received September 12, 2000. The associate editor coordinating the review of this lettter and approving it for publication was Dr. N. Mandayam. This work was supported in part by the National Science Foundation, under the Wireless Initiative Program, Grant 9979443.
Keywords
- Asymptotic analysis
- Fading channels
- Maximum likelihood
- Method of moments
- Monte Carlo simulation
- Parameter estimation
- Rice distribution