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基于MIMO-OFDM的高速水声通信技术研究 被引量：5

High-Speed Underwater Acoustic Communication Technique Based on MIMO-OFDM
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摘要 OFDM技术可以对抗水声信道中的多径传播并能实现高的频谱效率,空时编码技术则能够获得空间增益并对抗信道衰落。文中在分析OFDM同步误差和空时分组编码原理的基础上,将这两种无线新技术应用于高速水声通信中,设计实现了一个基于MIMO-OFDM技术的高速水声通信系统,并着重讨论了系统同步的实现方法。湖上实验证明了方案的有效性。 Orthogonal Frequency Division Multiplexing （OFDM） is extremely robust to multi-path propagation in the Underwater Acoustic （UWA） channel and could achieve high spectrum efficiency, and Space time coding could resist channel fading and achieve spatial diversity. Based on analysis of the principles of Multiple Input Multiple Output （MIMO） and OFDM synchronization, a novel high speed UWA communication system based on the MIMO-OFDM technique is proposed. The synchronization scheme for this system is discussed. Underwater experiments have proved the feasibility of this communication system.
作者 邓红超 巩玉振 蔡惠智
机构地区 中国科学院声学研究所 中国科学院研究生院
出处 《通信技术》 2009年第11期37-39,共3页 Communications Technology
关键词 OFDM MIMO 水声通信 同步 OFDM MIMO UWA communication synchronization
分类号 TB567 [交通运输工程—水声工程]
  • 相关文献

参考文献6

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二级参考文献13

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共引文献10

同被引文献49

  • 1Li Baosheng, Huang Jie, Zhou Shengli, et al. MIMO- OFDM for high rate underwater acoustic communications [J ]. IEEE journal of oceanic engineering. 2009, 34 (4): 634-644.
  • 2Patrieia Ceballos Carraseosa, Miliea Stojanovie. Adaptive channel estimation and data detection for underwater a- coustic MIMO-OFDM systems [ J ]. IEEE journal of oce- anic engineering. 2010, 3 (35) :635-646.
  • 3Edwards,J. Foeus on Compressive Sensing [ J ]. IEEE Sig- nal Processing Magazine. 2011,28 ( 2 ) : 11-13.
  • 4Engelbeg,S. Comperssive sensing[ J ]. IEEE Instrumen- tation & Measurement Magazine. 2012,15( 1 ) :42-46.
  • 5Christian. R Zhaohui Wang, Application of Compressive Sensing to Sparse Channel Estimation[J]. IEEE Commu- nications Magazine : Nov. 2010 : 164-172.
  • 6Kang T. lhis RA. Matching Pursuits channel estimation for an underwater acoustic OFDM modem [ C ] //IEEE Inter- national Conference on Acoustics, Speech and Signal Pro- eessing, LasVegas. 2008 : 5296-5299.
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  • 8曹胜果,高翔.采用压缩感知的OFDM水声信道估计[J].声学技术,2011,30(3):115-118.
  • 9Daniel Eiwen, Geory Taubock, Franz Hlawatseh et al. Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems:exploiting and enhan- cing joint sparsity[ C]. IEEE International Conference on ICASSP. 2010 : 3082-3085.
  • 10Sun woo. Angle-Frequency-Selective Sparse Channel Es- timation for Underwater MIMO-OFDM Systems[ J]. IEEE communications letters. 2012,16(5) :685-687.

引证文献5

二级引证文献32

通信技术
2009年 第11期

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