Bias Reduction in the Closed-Form Maximum Likelihood Estimator for the Nakagami-m Fading Parameter

In this letter, we discuss a corrective bias for the modified maximum likelihood estimator of the Nakagami-m fading parameter. The obtained corrected estimator has a closed-form expression, which plays an essential role in describing fading effects in wireless communication. Numerical results show t...

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Bibliographic Details
Published in:IEEE wireless communications letters 2020-10, Vol.9 (10), p.1692-1695
Main Authors: Ramos, Pedro Luiz, Louzada, Francisco, Ramos, Eduardo
Format: Article
Language:English
Subjects:
Bias
Closed form solutions
closed-form estimator
Exact solutions
Fading
Fading channels
Maximum likelihood estimation
maximum likelihood estimator
Maximum likelihood estimators
Nakagami distribution
Nakagami-m fading parameter
Parameter estimation
Parameter modification
Probability density function
unbiased estimator
Wireless communication
Wireless communications
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Summary:In this letter, we discuss a corrective bias for the modified maximum likelihood estimator of the Nakagami-m fading parameter. The obtained corrected estimator has a closed-form expression, which plays an essential role in describing fading effects in wireless communication. Numerical results show that the bias-corrected estimator outperforms the existing methods and returns unbiased estimates for the fading parameter even for very small sample sizes.
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2020.3001453