Technical Program

Paper Detail

Paper:SPTM-P12.2
Session:Estimation
Time:Friday, May 21, 13:00 - 15:00
Presentation: Poster
Topic: Signal Processing Theory and Methods: Detection, Estimation, and Class. Thry & Apps.
Title: DYNAMIC POWER ESTIMATION AND PREDICTION IN COMPOSITE FADING-SHADOWING CHANNELS
Authors: Aleksandar Dogandžić; Iowa State University 
 Benhong Zhang; Iowa State University 
Abstract: We present methods for dynamic estimation and prediction of local mean (shadow) powers from instantaneous signal powers in composite fading-shadowing wireless communication scenarios. We adopt a Nakagami-m fading model for the instantaneous signal powers and a first-order autoregressive [AR(1)] model for the shadow process in decibels. Sequential Bayesian analysis is applied to estimate the shadow powers assuming that the Nakagami-m and AR(1) model parameters are known. We also develop a method for jointly estimating both the shadow powers and unknown model parameters. Numerical simulations demonstrate the performance of the proposed methods.
 
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