时变信道下的被动时间反转水声通信技术研究
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- 英文论文题名：Passive time reversal underwater acoustic communication in time-varying channel environment
- 论文作者：韩笑 ; 殷敬伟 ; 于歌 ; 张晓
- 英文论文作者：HAN Xiao ; YIN Jing-wei ; YU Ge ; ZHANG Xiao ; Acoustic Science and Technology Laboratory ; Harbin Engineering University ; College of Underwater Acoustic Engineering ; Harbin Engineering University
- 年：2016
- 作者机构：哈尔滨工程大学水声技术重点实验室;哈尔滨工程大学水声工程学院;
- 论文关键词：水声通信 ; 时变信道 ; 被动时间反转镜 ; 判决反馈均衡
- 英文论文关键词：UWA communication ; time-varying channels ; PTR ; DFE
- 会议召开时间：2016-10-28
- 会议录名称：2016年全国声学学术会议论文集
- 语种：中文
- 分类号：TN929.3
- 学会代码：OGSM
- 会议名称：2016年全国声学学术会议
- 会议地点：中国湖北武汉
- 主办单位：中国声学学会
- 学会名称：中国声学学会
- 页数：4
- 文件大小：1688k
- 原文格式：D
- 会议级别：全国
摘要
被动时间反转镜水声通信技术通常采用同步信号或者训练序列估计的信道对数据进行匹配滤波处理,然而在时变信道条件下,其估计信道将与真实信道失配,导致信道均衡效果下降。针对此问题,本文提出了基于数据块处理的水声通信方案,解码时将接收数据分成若干块处理,前一数据块的信道估计结果用于当前数据块的信道更新,并联合判决反馈均衡器移除残留的码间干扰。2016年3月在鲅鱼圈附近海域开展了水声通信试验,在信道快速时变(信道相干时间小于0.1s)的环境下实现了可靠的解码效果,验证了本文方法的有效性和稳健性。
Passive time reversal(PTR) underwater acoustic(UWA) communication usually uses channels estimated from sync signal or training symbols to match filter the received data. However, the estimated channels will mismatch with the true channels in time-varying channel environment, leading to poor channel equalization performance. In order to solve this problem, this paper proposes a new UWA communication scheme based on block processing. The received data is divided into small blocks and the estimated channel from the former block is used to match filter the current block. Decision feedback equalizer(DFE) is also combined to remove the residual inter symbol interference(ISI). A field sea experiment was comducted near Bayuquan in March, 2016. Though the UWA channel is rapidly time-varying(channel temporal coherence is less than 0.1s), reliable decoding performance is achieved, verifying the effectiveness and robustness of the method proposed in this paper
Passive time reversal(PTR) underwater acoustic(UWA) communication usually uses channels estimated from sync signal or training symbols to match filter the received data. However, the estimated channels will mismatch with the true channels in time-varying channel environment, leading to poor channel equalization performance. In order to solve this problem, this paper proposes a new UWA communication scheme based on block processing. The received data is divided into small blocks and the estimated channel from the former block is used to match filter the current block. Decision feedback equalizer(DFE) is also combined to remove the residual inter symbol interference(ISI). A field sea experiment was comducted near Bayuquan in March, 2016. Though the UWA channel is rapidly time-varying(channel temporal coherence is less than 0.1s), reliable decoding performance is achieved, verifying the effectiveness and robustness of the method proposed in this paper
引文
[1]Parastoo Qarabaqi,Milica Stojanovic.Statistical characterization and computationally efficient modeling of a class of underwater acoustic communication channels.IEEE J.Ocean.Eng.2013,38(4):701-717
[2]Weichang Li,James C.Preisig.Estimation of rapidly time-varying sparse channels.IEEE J.Ocean.Eng.2007,32(4):927-939
[3]James C.Preisig.Performance analysis of adaptive equalization for coherent acoustic communications in the time-varying ocean environment.J.Acoust.Soc.Am.2005,118(1):263-278
[4]Luo Q H,Peng Y,Peng X Y,Saddik.Abdulmotaleb El.Uncertain data clustering-based distance estimation in wireless sensor networks Sensors.2014,14(4):6584-6605
[5]Han X,Yin J W,Yu G,Du P Y.Experimental demonstration of single carrier underwater acoustic communication using a vector sensor.Applied Acoustics.2015,98(1):1-5
[6]Palicot Jacques,Goupil Alban.Performance analysis of the weighted decision feedback equalizer.Signal Processing.2008,88(2):284-295
[7]H.C Song,W.S Hodgkiss,W.A Kuperman et al.High-rate synthetic aperture communications in shallow water.J.Acoust.Soc.Am.2009,126(6):3057-3061
[8]G.F.Edelmann,H.C.Song,S.Kim et al.Underwater acoustic communications using time reversal.IEEE J.Ocean Eng.2005,30(4):852-863
[9]T.C.Yang.Differences Between Passive-Phase Conjugation and Decision-Feedback Equalizer for Underwater Acoustic Communications.IEEE J.Ocean Eng.2004,29(2):472-487
[10]T.C.Yang.Temporal Resolutions of Time-Reversal and Passive-Phase Conjugation for Underwater Acoustic Communications.IEEE J.Ocean.Eng.2003,28(2):229-245
[11]H.C.Song,W.S.Hodgkiss,W.A.Kuperman et al.Improvement of Time-Reversal Communications Using Adaptive Channel Equalizers.IEEE J.Ocean Eng.2006,31(2):487-495
[2]Weichang Li,James C.Preisig.Estimation of rapidly time-varying sparse channels.IEEE J.Ocean.Eng.2007,32(4):927-939
[3]James C.Preisig.Performance analysis of adaptive equalization for coherent acoustic communications in the time-varying ocean environment.J.Acoust.Soc.Am.2005,118(1):263-278
[4]Luo Q H,Peng Y,Peng X Y,Saddik.Abdulmotaleb El.Uncertain data clustering-based distance estimation in wireless sensor networks Sensors.2014,14(4):6584-6605
[5]Han X,Yin J W,Yu G,Du P Y.Experimental demonstration of single carrier underwater acoustic communication using a vector sensor.Applied Acoustics.2015,98(1):1-5
[6]Palicot Jacques,Goupil Alban.Performance analysis of the weighted decision feedback equalizer.Signal Processing.2008,88(2):284-295
[7]H.C Song,W.S Hodgkiss,W.A Kuperman et al.High-rate synthetic aperture communications in shallow water.J.Acoust.Soc.Am.2009,126(6):3057-3061
[8]G.F.Edelmann,H.C.Song,S.Kim et al.Underwater acoustic communications using time reversal.IEEE J.Ocean Eng.2005,30(4):852-863
[9]T.C.Yang.Differences Between Passive-Phase Conjugation and Decision-Feedback Equalizer for Underwater Acoustic Communications.IEEE J.Ocean Eng.2004,29(2):472-487
[10]T.C.Yang.Temporal Resolutions of Time-Reversal and Passive-Phase Conjugation for Underwater Acoustic Communications.IEEE J.Ocean.Eng.2003,28(2):229-245
[11]H.C.Song,W.S.Hodgkiss,W.A.Kuperman et al.Improvement of Time-Reversal Communications Using Adaptive Channel Equalizers.IEEE J.Ocean Eng.2006,31(2):487-495