OFDM系统中信道补偿的串行均衡结构

M. Mohammadi, M. Ardabilipour, B. Moussakhani, Z. Mobini
{"title":"OFDM系统中信道补偿的串行均衡结构","authors":"M. Mohammadi, M. Ardabilipour, B. Moussakhani, Z. Mobini","doi":"10.1109/WOCN.2008.4542544","DOIUrl":null,"url":null,"abstract":"By the advent of equalizers their major focus was to estimate the Channel Impulse Response (CIR). Finding such a transform function, detection of the transmitted data using the inversed CIR is the next step. To eliminate the first step in this paper, we implemented channel equalizers serially in the system. Unlike conventional methods, the proposed scheme estimates Inversed channel Impulse Response directly using adaptive algorithms. Frequency domain channel estimators are common and easy to implement in OFDM based system, but comparing to serial structure presented in this paper they are slow and inaccurate. Also for every one tap equalizer implemented in frequency domain we need one division operator for each FFT point while in proposed structure the filter length is fixed and operates on every data Frame. In this paper for an OFDM based system two channel estimation algorithms (RLS and NLMS) have been implemented using the proposed structure and the promising results have been presented. Moreover, by reducing computational complexity the proposed method also outperforms conventional schemes.","PeriodicalId":363625,"journal":{"name":"2008 5th IFIP International Conference on Wireless and Optical Communications Networks (WOCN '08)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Serial equalization structure for channel compensation in OFDM systems\",\"authors\":\"M. Mohammadi, M. Ardabilipour, B. Moussakhani, Z. Mobini\",\"doi\":\"10.1109/WOCN.2008.4542544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By the advent of equalizers their major focus was to estimate the Channel Impulse Response (CIR). Finding such a transform function, detection of the transmitted data using the inversed CIR is the next step. To eliminate the first step in this paper, we implemented channel equalizers serially in the system. Unlike conventional methods, the proposed scheme estimates Inversed channel Impulse Response directly using adaptive algorithms. Frequency domain channel estimators are common and easy to implement in OFDM based system, but comparing to serial structure presented in this paper they are slow and inaccurate. Also for every one tap equalizer implemented in frequency domain we need one division operator for each FFT point while in proposed structure the filter length is fixed and operates on every data Frame. In this paper for an OFDM based system two channel estimation algorithms (RLS and NLMS) have been implemented using the proposed structure and the promising results have been presented. Moreover, by reducing computational complexity the proposed method also outperforms conventional schemes.\",\"PeriodicalId\":363625,\"journal\":{\"name\":\"2008 5th IFIP International Conference on Wireless and Optical Communications Networks (WOCN '08)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 5th IFIP International Conference on Wireless and Optical Communications Networks (WOCN '08)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOCN.2008.4542544\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 5th IFIP International Conference on Wireless and Optical Communications Networks (WOCN '08)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCN.2008.4542544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着均衡器的出现,他们的主要焦点是估计信道脉冲响应(CIR)。找到这样的变换函数,下一步就是利用反CIR对传输数据进行检测。为了消除本文的第一步,我们在系统中串行地实现了通道均衡器。与传统方法不同,该方法采用自适应算法直接估计信道逆脉冲响应。频域信道估计器是基于OFDM的系统中常见且易于实现的方法,但与本文提出的串行结构相比,频域信道估计器速度慢且不准确。此外,对于在频域中实现的每个一分均衡器,我们需要为每个FFT点提供一个除法算子,而在所提出的结构中,滤波器长度是固定的,并且对每个数据帧进行操作。本文针对一种基于OFDM的系统,利用所提出的结构实现了两种信道估计算法(RLS和NLMS),并给出了令人满意的结果。此外,通过降低计算复杂度,该方法也优于传统方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Serial equalization structure for channel compensation in OFDM systems
By the advent of equalizers their major focus was to estimate the Channel Impulse Response (CIR). Finding such a transform function, detection of the transmitted data using the inversed CIR is the next step. To eliminate the first step in this paper, we implemented channel equalizers serially in the system. Unlike conventional methods, the proposed scheme estimates Inversed channel Impulse Response directly using adaptive algorithms. Frequency domain channel estimators are common and easy to implement in OFDM based system, but comparing to serial structure presented in this paper they are slow and inaccurate. Also for every one tap equalizer implemented in frequency domain we need one division operator for each FFT point while in proposed structure the filter length is fixed and operates on every data Frame. In this paper for an OFDM based system two channel estimation algorithms (RLS and NLMS) have been implemented using the proposed structure and the promising results have been presented. Moreover, by reducing computational complexity the proposed method also outperforms conventional schemes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信