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MIMO-OFDM水声通信系统发展现状及趋势 被引量:4

Development Status and Trend of MIMO-OFDM Underwater Acoustic Communication System
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摘要 水声通信对带宽、效率、空间分集和性能等日益增长的需求,为多输入多输出(Multi-Input Multi-Output,MIMO)技术在水声通信领域的应用提供了机会。MIMO和正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)技术的结合,已被证明是一种有前景的水声通信方案,同时也加大了实现此类方案以获得所需带宽效率的设计挑战。目前,MIMO-OFDM水声通信面临的问题越来越突出。因此,全面综述对MIMO-OFDM水声通信领域的最新研究,在介绍设计MIMO-OFDM水声通信系统时所面临问题的基础上,重点对信道估计、均衡、编码和检测等技术进行了回顾和分类,最后根据算法的复杂性和性能进行比较,并对未来的发展趋势进行了展望。 The increasing demands for bandwidth,efficiency,spatial diversity and performance of underwater acoustic communication provide opportunities for the application of MIMO(Multi-Input Multi-Output)technology in underwater acoustic communication.The combination of MIMO and OFDM(Orthogonal Frequency Division Multiplexing)technology has been proved to be a promising underwater acoustic communication scheme.At the same time,it also increases the design challenge of implementing such schemes to obtain the required bandwidth efficiency,and the problems faced by MIMO-OFDM underwater acoustic communication are becoming more and more prominent.In this paper,the latest research in the field of MIMO-OFDM underwater acoustic communication is reviewed comprehensively.On the basis of introducing the problems faced in the design of MIMO-OFDM underwater acoustic communication system,the key technologies such as channel estimation,equalization,coding and detection are reviewed and classified.Finally,the complexity and performance of the algorithms are compared,and the future development trend is prospected.
作者 刘千里 谢静 LIU Qianli;XIE Jing(The First Military Representative Office of Wuhan Bureau of the Ministry of Navy Equipment in Wuhan,Wuhan Hubei 430060,China)
出处 《通信技术》 2021年第5期1035-1044,共10页 Communications Technology
关键词 水声通信 MIMO-OFDM 信道估计 编码 检测 underwater acoustic communication MIMO-OFDM channel estimation coding detection
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  • 1Akyildiz I F, Pompili D, Melodia T. Challenges for efficient communication in underwater acoustic sensor networks[J]. ACM S IGBED Review, 2004,1 (2) : 3 - 8.
  • 2Stuber G L, Barry J R, Melaughlin S W, et al. Broadband MI MO OFDM wireless communications [J]. Proceedings of the IEEE,2004,92(2) :271 - 294.
  • 3Li Y, Winters J H, Sollenberger N R. MIMO-OFDM for wire less communications= signal detection with enhanced channel es timation[J]. IEEE Trans. o*e Communication, 2002, 50 (9) 1471 - 1477.
  • 4Sun C, Hwang C S, Choi H. Comparative study of time-domain and frequency domain channel estimation in MIMO-OFDM systems [C] // Proc. of the 14th IEEE Persorval , Indoor and Mobile Radio Communication, 2003 : 1095 - 1099.
  • 5Barhumi I, Leus G, Moonen M. Optimal training design MIMO- OFDM systems in mobile wireless channels[J]. IEEE Trans. on Signal Processing , 2003, 51(6):1615- 1624.
  • 6Donoho D L. CompressecJ sensing[J]. IEEE Trans. on In for mation Theory ,2006,52(4) :1289 - 1306.
  • 7Davenport M A, Boufounos P T, Wakin M B, et al. Signal pro- cessing with compressive measurements[J]. IEEE Journal oJ Selected Topics in Signal Processing ,2010,4(2) :445 - 460.
  • 8Berger C R, Wang Z H, Huang J Z, et al. Application of com- pressive sensing to sparse channel estimation[J]. IEEE Com- munications Magazine ,2010,48(11) : 164 - 174.
  • 9Cands E J, Wakin M B. An introduction to compressive sam- pling[J]. IEEE Signal Processing Magazine, 2008,25 (2) : 21 -30.
  • 10Donoho D L, Xiao M H. Uncertainty principles and ideal atomic de composition[J]. IEEE Trans. on InJormation Theory, 2001,47 (7) .-2845 - 2862.

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