The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Dynamic Network

The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Dynamic Network

In order to analyze the channel estimation performance of near space high altitude platform station (HAPS) in wireless communication system, the structure and formation of HAPS are studied in this paper. The traditional Least Squares (LS) channel estimation method and Singular Value Decomposition-Li...

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Main Authors: Xiaoyang Liu, Xiaoping Zeng, Chao Liu, Wanping Liu, Yihao Zhang
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2017/5939810
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spelling doaj-1cf4c273d1674283ad05eea77f13d5d12020-11-24T20:57:43ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2017-01-01201710.1155/2017/59398105939810The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Dynamic NetworkXiaoyang Liu0Xiaoping Zeng1Chao Liu2Wanping Liu3Yihao Zhang4Postdoctoral Research Station of Information and Communication Engineering, Chongqing University, Chongqing 400030, ChinaPostdoctoral Research Station of Information and Communication Engineering, Chongqing University, Chongqing 400030, ChinaSchool of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, ChinaSchool of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, ChinaSchool of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, ChinaIn order to analyze the channel estimation performance of near space high altitude platform station (HAPS) in wireless communication system, the structure and formation of HAPS are studied in this paper. The traditional Least Squares (LS) channel estimation method and Singular Value Decomposition-Linear Minimum Mean-Squared (SVD-LMMS) channel estimation method are compared and investigated. A novel channel estimation method and model are proposed. The channel estimation performance of HAPS is studied deeply. The simulation and theoretical analysis results show that the performance of the proposed method is better than the traditional methods. The lower Bit Error Rate (BER) and higher Signal Noise Ratio (SNR) can be obtained by the proposed method compared with the LS and SVD-LMMS methods.http://dx.doi.org/10.1155/2017/5939810
collection DOAJ
language English
format Article
sources DOAJ
author Xiaoyang Liu
Xiaoping Zeng
Chao Liu
Wanping Liu
Yihao Zhang
spellingShingle Xiaoyang Liu
Xiaoping Zeng
Chao Liu
Wanping Liu
Yihao Zhang
The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Dynamic Network
Discrete Dynamics in Nature and Society
author_facet Xiaoyang Liu
Xiaoping Zeng
Chao Liu
Wanping Liu
Yihao Zhang
author_sort Xiaoyang Liu
title The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Dynamic Network
title_short The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Dynamic Network
title_full The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Dynamic Network
title_fullStr The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Dynamic Network
title_full_unstemmed The Channel Estimation and Modeling in High Altitude Platform Station Wireless Communication Dynamic Network
title_sort channel estimation and modeling in high altitude platform station wireless communication dynamic network
publisher Hindawi Limited
series Discrete Dynamics in Nature and Society
issn 1026-0226
1607-887X
publishDate 2017-01-01
description In order to analyze the channel estimation performance of near space high altitude platform station (HAPS) in wireless communication system, the structure and formation of HAPS are studied in this paper. The traditional Least Squares (LS) channel estimation method and Singular Value Decomposition-Linear Minimum Mean-Squared (SVD-LMMS) channel estimation method are compared and investigated. A novel channel estimation method and model are proposed. The channel estimation performance of HAPS is studied deeply. The simulation and theoretical analysis results show that the performance of the proposed method is better than the traditional methods. The lower Bit Error Rate (BER) and higher Signal Noise Ratio (SNR) can be obtained by the proposed method compared with the LS and SVD-LMMS methods.
url http://dx.doi.org/10.1155/2017/5939810
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