期刊文献+

改进的多输人多输出正交频分复用水声通信判决反馈信道估计算法 被引量:23

An improved decision feedback channel estimation algorithm for multiple-input multiple-output orthogonal frequency division multiplexing underwater acoustic communication
原文传递
导出
摘要 针对最小均方误差准则下(Minimum Mean Square Error,MMSE)判决反馈信道估计算法在多输入多输出正交频分复用(Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing,MIMO-OFDM)低信噪比水声通信环境下存在误码遗传缺陷,提出了一种基于压缩感知理论的改进的MMSE判决反馈信道估计算法。通过结合浅海水声信道的稀疏性特点,利用编码校验后的信息与原始信息实现了对信道估计的判决反馈更新,采用匹配追踪算法改进MMSE判决反馈追踪信道估计技术,实现了抑制传统判决反馈信道估计算法在迭代更新及传递过程中存在的误码遗传的目的。仿真和水池实验结果证实:改进的MMSE判决反馈追踪信道估计算法不仅可以有效的抑制误码遗传,对抗突发噪声,跟踪信道的缓慢时变,同时大幅降低了导频占用率,提高了通信质量。 To overcome the disadvantage of error propagation, an improved decision feedback channel estimation al- gorithm based on compressed sensing technology is proposed for multiple-input multiple-output orthogonal frequency division multiplexing communication in low signal-to-noise ratio underwater acoustic environment. The corrected and the original information are used to contrive the decision feedback channel estimation. And taking advantage of neritic channel's sparse characters, the channels can be constructed by matching pursuit ameliorated minimum mean square error decision feedback channel estimation algorithm without error propagation. Experiment results performed with numerical simulation and tank-trial data are provided, demonstrating that the proposed algorithm can effectively reduce the occupancy of pilots, abate the burst noise effect, offer confined error propagation and significantly increase the quality of the system.
出处 《声学学报》 EI CSCD 北大核心 2016年第1期94-104,共11页 Acta Acustica
基金 国家自然科学基金重点项目(61431004)、国家自然科学基金面上项目(11274079)和国家自然科学基金青年基金(61401114)资助
关键词 多输入多输出正交频分复用 信道估计算法 判决反馈 水声通信 多输入多输出 最小均方误差准则 DIVISION 遗传缺陷 Acoustic noise Algorithms Codes (symbols) Compressed sensing Errors Feedback Feedback control Frequency division multiplexing Frequency estimation Local area networks Mean square error MIMO systems Multiplexing Orthogonal frequency division multiplexing Signal to noise ratio Telecommunication repeaters Underwater acoustics
  • 相关文献

参考文献25

  • 1Li Laosheng, Huang Jie, Zhou Shengli et al. MIMO-OFDM for high rate underwater acoustic communications. IEEE Journal of Oceanic Engineering, 2009; 34(4): 634-644.
  • 2马璐,刘凇佐,乔钢.水声正交频分多址上行通信稀疏信道估计与导频优化[J].物理学报,2015,64(15):281-290. 被引量:8
  • 3Donoho D L.压缩传感. IEEE Transactions on signal pro- cessing, 2006; 52(4): 1289---1306.
  • 4Berger C R, Zhou Shengli, Preisig J C et al. Sparse chan- nel estimation for multicarrier underwater acoustic com- munication: from subspace methods to compressed sens- ing. IEEE Transactions on signal processing, 2010; 58(3): 1708--1721.
  • 5尹艳玲,乔钢,刘凇佐,周锋.基于基追踪去噪的水声正交频分复用稀疏信道估计[J].物理学报,2015,64(6):223-230. 被引量:22
  • 6Cao Shenguo, Gao Xiang. OFDM underwater acoustic channel estimation with compressive sensing. Technical Acoustic, 2011; 30(3): 115--118.
  • 7孙宏图,王琳,魏琴芳.LDPC码在MIMO-OFDM迭代接收系统中的性能研究[J].重庆邮电大学学报(自然科学版),2008,20(1):15-19. 被引量:3
  • 8Anwar K, Matsumoto T. MIMO spatial Turbo coding with iterative equalization. International ITG Workshop on Smart Antennas (WSA), IEEE Computer Society, 2010: 428-433.
  • 9Chen C Y, Chiueh T D. Iterative receiver for mobile MIMO-OFDM systems using ICI-aware list-update MIMO detection. IEEE International Conference on Communica- tions, 2010:1-5.
  • 10Namboodiri V, Liu Hong, Spasojevic P et al. Low complex- ity turbo equalization for mobile MIMO OFDM systems. ICCSP 2011 International Conference on Communications and Signal Processing, 2011:255-260.

二级参考文献48

  • 1曾蓉,梁钊.低密度校验(LDPC)码的构造及编码[J].重庆邮电学院学报(自然科学版),2005,17(3):316-319. 被引量:12
  • 2汪雄良,王春玲.基于改进基追踪方法的信号去噪[J].电子技术应用,2005,31(8):19-21. 被引量:3
  • 3张德明,李整林,张仁和.基于自适应时频分析的海底参数反演[J].声学学报,2005,30(5):415-419. 被引量:22
  • 4桑恩方,乔钢.基于声矢量传感器的水声通信技术研究[J].声学学报,2006,31(1):61-67. 被引量:14
  • 5Lam W K, Ormondroyd R F. A novel broadband COFDM modulation scheme for robust communication over the underwater acoustic channel[C]. [s. l.]: IEEE Military Communications Conference, 1998: 128-133.
  • 6Byung-Chul Kim, I-Tai Lu. Parameter study of OFDM underwater communications system[C]. USA:IEEE, 2000: 11-14.
  • 7Hamid Jafarkhani, Space-Time coding: theory and practice[M]. Cambridge:Cambridge University Press, 2005.
  • 8Alamouti S M. A simple transmitter diversity scheme for wireless communications[J]. IEEE Comm. 1998, 16(08): 1451 - 1458.
  • 9YEH CHIA J, UENG Y L, LIN M C, et al. lnterblock memory for Turbo coding[ J]. IEEE Trans on Communications ,2010,58 (2) : 390- 393.
  • 103GPP TS 25. 212 v6.6.0. Multiplexing and channel coding(FDD) [ S ]. 2005.

共引文献42

同被引文献135

引证文献23

二级引证文献66

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部