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An Alternative Statistical Characterization of TWDP Fading Model.

Sensors (Basel, Switzerland)·2021
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Moment-Based Parameter Estimation for the Γ-Parameterized TWDP Model.

Pamela Njemcevic1, Enio Kaljic1, Almir Maric1

  • 1Department of Telecommunications, Faculty of Electrical Engineering, University of Sarajevo, Zmaja od Bosne b.b., Kampus Univerziteta, 71000 Sarajevo, Bosnia and Herzegovina.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary

The study addresses limitations in the Two-Wave with Diffuse Power (TWDP) model for wireless networks. New estimators for TWDP parameters K and Gamma improve accuracy and overcome issues with the conventional Delta-based approach.

Keywords:
Cramer–Rao boundTWDP fading channelasymptotic variancemoment-based estimation

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Area of Science:

  • Wireless communications
  • Signal processing
  • Statistical modeling

Background:

  • The Two-Wave with Diffuse Power (TWDP) model is crucial for analyzing small-scale fading in wireless networks.
  • Conventional parameterization (K and Δ) of the TWDP model lacks alignment with physical mechanisms.
  • Existing moment-based estimators using Δ exhibit limitations in certain channel conditions.

Purpose of the Study:

  • To identify anomalies in conventional TWDP parameterization within moment-based estimation.
  • To derive new moment-based estimators for physically justified TWDP parameters K and Γ.
  • To evaluate the performance of the new Γ-based estimators against conventional Δ-based estimators.

Main Methods:

  • Analysis of anomalies in moment-based estimation using conventional TWDP parameters.
  • Derivation of moment-based estimators for TWDP parameters K and Γ.
  • Performance evaluation using Asymptotic Variance (AsV) and Cramer-Rao Bound (CRB) metrics.

Main Results:

  • Anomalies were identified in Δ-based estimators, rendering them ineffective in specific channel scenarios.
  • New moment-based estimators for TWDP parameters K and Γ were successfully derived.
  • Γ-based estimators demonstrated superior performance, overcoming Δ-based estimator anomalies.
  • The Γ-based estimators achieved improved overall moment-based estimation accuracy.

Conclusions:

  • The conventional Δ-based parameterization for TWDP models presents significant limitations in moment-based estimation.
  • The newly derived Γ-based estimators offer a physically justified and more accurate approach for TWDP parameter estimation.
  • This research provides enhanced tools for modeling wireless channel fading effects.