Abstract
This letter develops new estimators for the Nakagami-m parameter based on real (integer and fractional) sample moments. These moment-based estimators are asymptotically unbiased, efficient, and have lower computational budget compared to the best known integer and real moment estimators [Cheng, J et al., (2002), Eqs. (4) and (9)] but comparable to [Gaeddert, J et al., (2005), Eq. (5)]. Specifically, the asymptotic expansion of sample moments derived in this article provides a generalized closed-form expression for the Nakagami-m parameter without the need for coefficient optimization for different ratios of real moments as needed in [Gaeddert, J et al., (2005)].
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