Block iterative FDE for MIMO underwater acoustic communications

W. Duan, Y. R. Zheng, Dajun Sun, Youwen Zhang
{"title":"Block iterative FDE for MIMO underwater acoustic communications","authors":"W. Duan, Y. R. Zheng, Dajun Sun, Youwen Zhang","doi":"10.1109/COA.2016.7535772","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a low complexity iterative detection scheme for the uncoded zero padding (ZP) single carrier (SC) transmission in Multiple-input Multiple-output (MIMO) underwater acoustic (UWA) channels. Due to the long multipath in UWA channels, ZP SC-FDE has to use large block size to achieve low computational complexity and high data efficiency. But, the higher bandwidth efficiency results in more sever channel estimation error and performance degradation. To enhance the performance of the ZP SC systems with high data efficiency, we design a soft-decision block iterative frequency-domain equalization (BI-FDE) combined with iterative channel estimation. With increasing reliability as the the iteration proceeds, the soft decision symbols obtained at the previous iteration are used to re-estimate the channel, thus improving the overall system performance. Since both the feedfoward and feedback filters are designed in frequency domain without the aid of channel coding, the proposed SD BI-FDE scheme is affordable for real-time implementation. The performance enhancement of the proposed iterative receiver has been verified through a pool test.","PeriodicalId":155481,"journal":{"name":"2016 IEEE/OES China Ocean Acoustics (COA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/OES China Ocean Acoustics (COA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COA.2016.7535772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

In this paper, we propose a low complexity iterative detection scheme for the uncoded zero padding (ZP) single carrier (SC) transmission in Multiple-input Multiple-output (MIMO) underwater acoustic (UWA) channels. Due to the long multipath in UWA channels, ZP SC-FDE has to use large block size to achieve low computational complexity and high data efficiency. But, the higher bandwidth efficiency results in more sever channel estimation error and performance degradation. To enhance the performance of the ZP SC systems with high data efficiency, we design a soft-decision block iterative frequency-domain equalization (BI-FDE) combined with iterative channel estimation. With increasing reliability as the the iteration proceeds, the soft decision symbols obtained at the previous iteration are used to re-estimate the channel, thus improving the overall system performance. Since both the feedfoward and feedback filters are designed in frequency domain without the aid of channel coding, the proposed SD BI-FDE scheme is affordable for real-time implementation. The performance enhancement of the proposed iterative receiver has been verified through a pool test.
MIMO水声通信的块迭代FDE
针对多输入多输出(MIMO)水声(UWA)信道中无编码零填充(ZP)单载波(SC)传输,提出了一种低复杂度迭代检测方案。由于UWA信道的多径较长,ZP SC-FDE必须使用较大的块大小来实现低计算复杂度和高数据效率。但是,较高的带宽效率会导致更严重的信道估计误差和性能下降。为了提高ZP SC系统的性能和数据效率,我们设计了一种结合迭代信道估计的软判决块迭代频域均衡(BI-FDE)方法。随着迭代的进行,可靠性不断提高,利用前一次迭代获得的软决策符号对信道进行重新估计,从而提高了系统的整体性能。由于前馈和反馈滤波器都是在频域中设计的,无需通道编码,因此所提出的SD BI-FDE方案可以实现实时。通过池测试验证了所提出的迭代接收机的性能增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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