Fading parameter estimation for backscattering signals using method of moments

Backscattering communication has gained significant interest due to its low power consumption and wide applicability in the Internet of Things (IoT) and wireless sensing systems. Accurate parameter estimation of backscattering signals is essential for improving system performance and optimizing communication efficiency. This article focuses on the channel model parameter estimation using the method of moments for backscattering signals in three different fading channels: Nakagami-m, Rayleigh, and Rician. A total of five different cases are considered using these distributions. Moment-based estimators are derived for key channel model parameters in each case, and their accuracy is verified through MATLAB simulation by comparing them with the case without backscattering and the case without noise. The results indicate that the moment-based estimators provide accurate parameter estimation in various fading conditions.