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| 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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