期刊文献+

基于压缩感知的短波多天线分集合并接收方法

Diversity Combination Receiving Method based on short wave antenna of Compression Perception
在线阅读 下载PDF
导出
摘要 在短波通信中,为了克服信道中的多径干扰、衰落和多普勒频移等对接收信号的影响,实现低信噪比下,信号高速传输,文章提出了一种基于压缩感知的短波多天线分集合并接收系统设计方法。该系统有效地将OFDM调制方式和压缩感知相结合,充分利用了OFDM调制方式频谱效率高、抗多径衰落能力强等优势以及压缩感知抗干扰能力强、能以低采样率高精度重建待测信号的特性。实验结果表明:与现有的短波通信系统相比,在信号受强噪声干扰且高速传输的情况下,重建性能最优。 In the shortwave communication,in order to overcome the influence of receipt signal such as the multipath interference,decline and doppler frequency shift and so on in the channel,and realize high signal speed transmission under low SNR,diversity combination receiving system design method based on short wave antenna of compression perception was presented this paper.The system had some features such as high frequency spectrum efficiency,strong anti-jamming abilityand high precision with a low sampling rate by combining OFDM modulation mode with compression perception.The experimental results showed that the existing shortwave communication system has an optimal reconstruction performance in noise jamming and high-speed transmission.
出处 《大众科技》 2012年第4期82-83,88,共3页 Popular Science & Technology
基金 广西无线宽带通信与信号处理重点实验室基金(PF11056X PF11054X)
关键词 短波通信 多径干扰 压缩感知 分集合并 Shortwave communication Multipath interference Compression perception Diversity combination
  • 相关文献

参考文献12

  • 1Mastrangelo J F,Lemmon J J.A new wideband high frequency channel simulation system[J].IEEE Transactions on Communication,1997,45(1):26-34.
  • 2綦俊炜,钱晋希,赵旦峰.基于滤波器设计的快速短波扩频系统研究[J].计算机工程与应用,2011,47(33):74-77. 被引量:1
  • 3LüChunmiao,Zhao Minjian,Zhong Jie.An improved detection algorithm based on frequency-domain PN-sequence for OFDM in wideband HF communication[C].12th IEEE International Conference on Communication Technology(ICCT),2010.
  • 4杨美华,朱宇峰,魏巍.基于OFDM的短波多天线分集接收技术性能仿真[J].通信技术,2011,44(10):7-9. 被引量:9
  • 5Candès E J.Compressive sampling[C].Proceedings of the International Congress of Mathematicians.Madrid,Spain:[s.n.] ,2006:1433-1452.
  • 6Donoho D.L.Compressed sensing[J].IEEE Transactions on Information Theory,2006,52(4):1289-1306.
  • 7Zymnis,A.;Boyd,S.,Candes,E.Compressed Sensing With Quantized Measurements[J].Signal Processing Letters,IEEE,2010,Vol.17,No.2,149-152.
  • 8Qu,X.,Cao,X.,Guo D.,Hu,C.,Chen,Z..Combined sparsifying transforms for compressed sensing MRI[J].Electronics Letters,2010,Vol.46,121-123.
  • 9Berger Christian R.,Zhou Shengli,Preisig James C.,Willett Peter.Sparse Channel Estimation for Multicarrier Underwater Acoustic Communication:From Subspace Methods to Compressed Sensing[J].IEEE Transactions on Signal Processing,2010,Vol.58,1708-1721.
  • 10王国富,张海如,张法全,徐婷.基于改进遗传算法的正交匹配追踪信号重建方法[J].系统工程与电子技术,2011,33(5):974-977. 被引量:5

二级参考文献31

  • 1Candes E J. Compressive sampling[C] // Proc. of the International Congress of Mathematicians, 2006 : 1433 - 1452.
  • 2Donoho D L. Compressed sensing[J]. IEEE Trans. on Information Theory, 2006,52(4) : 1289 - 1306.
  • 3Zymnis A, Boyd S, Candes E. Compressed sensing with quantized measurements[J].IEEE Signal Processing Letters,2010, 17(2) :149- 152.
  • 4Mohammadi R, Mahloojifar A. Resolution improvement of scanning acoustic microscopy using sparse signal representation[J]. Journal of Signal Processing Systems, 2009,54 (1) : 15 - 24.
  • 5Needell D, Vershynin R. Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit[J]. Founda tions of Computational Mathematics, 2009,9 (3) 317 - 334.
  • 6Qu X, Cao X, Guo D, et al. Combined sparsifying transforms for compressed sensing MRI[J]. Electronics Letters, 2010, 46 (2) :121 - 123.
  • 7Berger C R, Zhou S L, Preisig J C, et al. Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing[J]. IEEE Trans. on Signal Processing, 2010 58(3) : 1708 - 1721.
  • 8Needell D, Vershynin R. Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit [J]. Foundations of Computational Mathematics, 2008,9 (3) : 317 - aa4.
  • 9Candes E J, Wakin M. An introduction to compressive sampling[J]. IEEE Signal Processing Magazine, 2008,25 (2) : 1 - 30.
  • 10Zymnis A, Boyd S, Candes E. Compressed sensing with quantized measurements [J]. IEEE Signal Processing Letters, 2010,17(2) :149 - 152.

共引文献12

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