Nakagami distribution has proven useful for modeling multipath faded envelope in wireless channels. The shape parameter of the Nakagami distribution, known as the m parameter, can be estimated in different ways. In this contribution, the performance of the inverse normalized variance, Tolparev-Polyakov, and the Lorenz estimators have been compared through Monte Carlo simulation, and it has been observed that the inverse normalized variance estimator is superior to the others over a broad range of m values.
Bibliographical noteFunding Information:
Manuscript received August 9, 1999. The associate editor coordinating the review of this letter and approving it for publication was Prof. N. C. Beaulieu. This work has been supported in part by the National Science Foundation under the Wireless Initiative Program, Grant 9979443.
- Fading channels
- Monte Carlo simulation
- Multipath fading
- Nakagami distribution
- Parameter estimation
- Wireless channels