Moment-based Parameter Estimation for ${\Gamma}$-parameterized TWDP Model
Pamela Njemcevic, Almir Maric, and Enio Kaljic

TL;DR
This paper introduces a new parameterization for the TWDP fading model using a parameter Gamma, addressing issues with the traditional K and Delta parameters, and develops moment-based estimators that outperform previous methods.
Contribution
The paper proposes a novel Gamma-based parameterization for TWDP and derives moment-based estimators that overcome limitations of the conventional K and Delta parameters.
Findings
Gamma-based estimators outperform traditional ones in accuracy.
The new parameterization reduces anomalies in TWDP estimation.
Asymptotic variance and CRB analyses validate the improved estimators.
Abstract
In this paper, parameterization of a two-wave with diffuse power (TWDP) fading model is revised. Anomalies caused by using conventional TWDP parameters and are first identified, indicating that the existing moment-based estimators of a tuple are not able to provide accurate estimations for various combinations of their values. Therefore, a moment-based estimators for a newly proposed parameters and are derived and analyzed through asymptotic variance (AsV) and Cramer-Rao bound (CRB) metrics. The results are qualitatively compared to those obtained for a tuple, showing that moment-based estimators of the improved -based parameterization managed to overcome all anomalies observed within the conventional TWDP parameterization.
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