期刊文献+

基于PSP及Kalman滤波的PCMA信号盲分离算法 被引量:5

PCMA signal blind separation based on per-survivor processing and Kalman filter
下载PDF
导出
摘要 提出了一种成对载波多址系统中信息序列和信道联合估计的算法。该算法在不具备任一协作通信方发送的信息序列的先验知识前提下从混合信号中解调出两路信息序列。该算法结合了逐幸存路径处理法无延迟的信道参数估计特性和Kalman滤波良好的估计性能。仿真实验表明,该算法具有良好的信道捕获与跟踪能力,且实现较好的符号序列估计性能。 This paper proposes the joint estimation of data sequence and channel impulse response in PCMA systems. It decodes two data sequences from the mixed signals without knowledge of data sequence in any terminal. It combines the zero delay estimation property of per-survivor processing and excellent tracking performance of Kalman filter. The simulation results show that the method has better estimation of the channel than the traditional LMS method and achieves good performance in data estimation.
作者 毕琰 钱良
出处 《信息技术》 2013年第7期20-23,共4页 Information Technology
基金 国家自然科学基金项目(61102051)
关键词 成对载波多址 逐幸存路径处理 Kalrnan滤波 PCMA per-survivor processing Kalman filter
  • 相关文献

参考文献6

  • 1ViaSat, PCMA basic overview[Z]. 2008.
  • 2Pedzisz M, Mansour A, A simple idea to separate convolutive mixture in an undetermined scenario [C]//14th ESSANN, Bruges, Belgium, 2006.
  • 3Tu Shilong, Chen Shaohe, Zheng Hui, et al. Particle filetering based single-channel blind separation of co-frequency MPSK signals [C]//Proc. ISPACS'07, Xiamen, China, 2007:89 -92.
  • 4万坚,许华,朱中梁.基于独立分量分析的成对载波多址分离新算法[J].通信学报,2006,27(8):41-44. 被引量:15
  • 5Raheli, Riccardo, Andreas Polydoros, et al. Per-survivor processing : A general approach to MLSE in uncertain environments [ J ]. IEEE Transactions on Communications, 1995, 43 (234) : 354 - 364.
  • 6Raheli, Riccardo, Andreas Polydoros, et al. The principle of persurvivor processing: a general approach to approximate and adaptive MLSE[C]. Global Telecommunications Conference, 1991.

二级参考文献5

  • 1MAKE D, MACK J, MILLE R, et al. Self-interference Cancellations for Two-party Relayed Communication US Patent No.5596439[P].1997. 1120-1124.
  • 2MAKE D. Paired carrier multiple access (PCMA) for satellite communications[A]. Pacific Telecommunications Conference[C]. Honolulu, Hawaii, 1998.787-791.
  • 3BINGHAM E, HYVARINEN A. A fast fixed-point algorithm for independent component analysis of complex-valued signal[J]. IEEE Transaction on Neural Network, 2000, 10(1):1-8.
  • 4HYVARINEN A.Fast and robust fixed-point algorithms for independent component analysis[J]. IEEE Transaction on Neural Network,1999,10(3): 110-115.
  • 5JFCARDOSO B, LABHELD H. Equivariant adaptive source separation[J].IEEE Trans, Signal Process, 1996,44(12):316-319.

共引文献14

同被引文献27

引证文献5

二级引证文献4

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