Campus Units
Electrical and Computer Engineering
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
8-2005
Journal or Book Title
IEEE Transactions on Signal Processing
Volume
53
Issue
8
First Page
2942
Last Page
2948
DOI
10.1109/TSP.2005.850380
Abstract
We present a sequential Bayesian method for dynamic estimation and prediction of local mean (shadow) powers from instantaneous signal powers in composite fading-shadowing wireless communication channels. 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. The proposed dynamic method approximates predictive shadow-power densities using a Gaussian distribution. We also derive Crame/spl acute/r-Rao bounds (CRBs) for stationary lognormal shadow powers and develop methods for estimating the AR model parameters. Numerical simulations demonstrate the performance of the proposed methods.
Rights
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Copyright Owner
IEEE
Copyright Date
2005
Language
en
File Format
application/pdf
Recommended Citation
Dogandžić, Aleksandar and Zhang, Benhong, "Dynamic shadow-power estimation for wireless communications" (2005). Electrical and Computer Engineering Publications. 134.
https://lib.dr.iastate.edu/ece_pubs/134
Comments
This is a manuscript of an article from IEEE Transactions on Signal Processing 53 (2005): 2942, doi:10.1109/TSP.2005.850380. Posted with permission.