Window-Based Channel Impulse Response Prediction for Time

Loading...
PLoS One. 2016; 11(12): e0164944.

PMCID: PMC5167263

Published online 2016 Dec 19. doi: 10.1371/journal.pone.0164944

Window-Based Channel Impulse Response Prediction for Time-Varying Ultra-Wideband Channels A. M. Al-Samman, 1,* M. H. Azmi, 1 T. A. Rahman, 1 I. Khan, 2 M. N. Hindia, 1 and A. Fattouh3 Ian McLoughlin, Editor 1 Department Wireless Communication Centre, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia 2 Department of Electrical Engineering, Islamic University Madinah, Madinah, Saudi Arabia 3 Department of Computer Sciences, Faculty of Computing and Information Technology, King Abdulaziz University (KAU), Jeddah, Saudi Arabia University of Kent, UNITED KINGDOM Competing Interests: The authors have declared that no competing interests exist. Conceptualization: AMA MHA TAR. Data curation: AMA MHA TAR. Formal analysis: AMA MHA IK MNH. Funding acquisition: MHA TAR. Investigation: AMA MHA IK MNH. Methodology: AMA MHA TAR IK. Project administration: AMA MHA TAR. Resources: AMA MHA IK MNH AF. Software: AMA MHA. Supervision: AMA MHA TAR IK MNH AF. Validation: AMA MHA IK. Visualization: AMA MHA TAR IK MNH AF. Writing – original draft: AMA MHA TAR IK MNH AF. Writing – review & editing: AMA MHA TAR IK MNH AF. * E-mail: [email protected] Received 2016 Feb 29; Accepted 2016 Oct 4. Copyright © 2016 Al-Samman et al This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Go to:

Introduction

Go to:

Channel Model

Go to:

Proposed Prediction Method

Measurement Setup and Environment

The Evaluation Criterion

The Complexity Evaluation

Results and Analysis

Limitations and Future Works

Go to:

Conclusion

Supporting Information

Go to:

S1 Table

S2 Table

S1 Text

Funding Statement

Go to:

Data Availability

Go to:

References

Go to:

Articles from PLoS ONE are provided here courtesy of Public Library of Science

Loading...

Window-Based Channel Impulse Response Prediction for Time

PLoS One. 2016; 11(12): e0164944. PMCID: PMC5167263 Published online 2016 Dec 19. doi: 10.1371/journal.pone.0164944 Window-Based Channel Impulse Re...

9MB Sizes 2 Downloads 6 Views

Recommend Documents

Impulse Response Functions - UCL
James D. Hamilton: Time Series Analysis, Princeton University Press (1994). Chapter. 11, Pages 318-320. 2This is not Mat

Online ARIMA Algorithms for Time Series Prediction - Association for
In the past decades, time series forecasting has played an important role in a wide range of domains including speech an

Implementation of Finite Impulse Response Digital filter in Digital
Transmission and receiving of voice signal must be clear and understandable. To maintain the voice quality, filtering is

Finite Impulse Response (FIR) Filter Design and Analysis - Maplesoft
F1 := evalf(fl/fs);. > F2 := evalf(fh/fs);. > Dirac(0) := 1; http://www.mapleapps.com/categories/engineering/electrical_

Monitor response time importance essay
2 days ago - "Why children love Roald Dahl s stories - and many adults don t. ... I need to be medicated; we rarely see

Online ARIMA Algorithms for Time Series Prediction - Singapore
up of time series prediction. Then we present the proposed method, followed by theoretical analysis. After, we discuss e

Fast Prediction for Sparse Time Series: Demand Forecast of EV
Abstract— This article describes the core cellphone application algorithm which has been implemented for the predictio

Minimax Time Series Prediction - NIPS Proceedings
Yasin Abbasi-Yadkori. Queensland University of Technology [email protected] Abstract. We consider an adver

Online Learning for Time Series Prediction - Proceedings of Machine
(ARMA) models are often used for the purpose of time-series modeling, analysis and pre- diction. These models have been

Time Series Analysis and Prediction | NHH
Enders: Applied econometric time series 3ed. Wiley 2010. Cowpertwait and Metcalfe: Introductory time series with R. Spri