期刊文献+

基于CS-ROMP算法的超宽带信道估计 被引量:7

UWB Channel Estimation Based on CS-ROMP Algorithm
下载PDF
导出
摘要 研究了正则正交匹配追踪(Regularized OMP)算法在超宽带系统信道估计中的应用。ROMP算法在应用于稀疏信号恢复时,具备贪婪算法计算速度快和计算复杂度低的特点。超宽带通信(UWB)系统的信道估计需要估计一组最大径的参数,而ROMP具有能够可靠恢复近似稀疏含噪信号的能力,适用于UWB信道估计。通过仿真,对比了ROMP和DS(Danzig Selector)2种压缩感知重构算法在信道估计中的系统误码率性能,综合分析了2种算法的性能。仿真结果表明,CS-ROMP可有效用于脉冲UWB系统的信道估计。 The application of regularized orthogonal match pursuit(Regularized OMP) algorithm in channel estimation of UWB system is studied.When ROMP is applied in sparse signal recovery,it features the high speed and low computation complexity of greedy algorithm.The channel estimation of UWB system is required to estimate a group of parameters of the maximum diameters,and ROMP has the ability to reliably recover noise-contained approximately-sparse signal,which makes it suitable for UWB channel estimation.Through simulation,a comparison is made between ROMP and DS restructuring algorithm in BER performance of channel estimation,the performances of the algorithms are analyzed,and the simulation result indicates that CS-ROMP can be used in channel estimation of pulse UWB system effectively.
出处 《无线电工程》 2011年第5期14-17,共4页 Radio Engineering
基金 国家重大专项(2009ZX03006-009 2010ZX03006-006)资助
关键词 超宽带 压缩感知 信道估计 ROMP UWB(ultra-wide band) CS(Compressed Sensing) channel estimation ROMP
  • 相关文献

参考文献8

  • 1石光明,刘丹华,高大化,刘哲,林杰,王良君.压缩感知理论及其研究进展[J].电子学报,2009,37(5):1070-1081. 被引量:707
  • 2FRIEDLANDER B. Random Projections for Sparse Channel Estimation and Equalization [ C ]. Signals Systems and Computers, ACSSC ' 06. Fortieth Asilomar Conference, 2006: 453 - 457.
  • 3ZHANG P, HU Z, QIU R C, et al. A Compressed Sensing Based Ultra-wideband Communication System[ C ]. IEEE International Conference on Communications,2009:214- 226.
  • 4NEEDELL D, VERSHYNIN R. Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit [ J ]. IEEE Journal of Selected Topics in Signal Processing,2010,4(2):310- 316.
  • 5PAREDES J L, ARCE G R, WANG Zhong-min. Uhra- Wideband Compressed Sensing : Channel Estimation [ J ] . IEEE Journal of Selected Topics in Signal Processing , 2007,1 ( 3 ) : 383 - 394.
  • 6BAJWA W U, HAUPT J, SAYEED A M, et al. Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels [ J]. Proceedings of the IEEE , 2010, 98(6) : 1058 - 1076.
  • 7CANDES E j, TAO T. The Dantzig Selector :Statistical Estimation when p is much Larger than n [ J ]. Ann. Stat. , 2007,35(6) :2313 - 2351.
  • 8TIBSHIRANI R. Regression Shrinkage and Selection via the Lasso [J]. Proceedings of the IEEE, 1996,58 ( 1 ) : 267 - 288.

二级参考文献82

  • 1张春梅,尹忠科,肖明霞.基于冗余字典的信号超完备表示与稀疏分解[J].科学通报,2006,51(6):628-633. 被引量:70
  • 2R Baraniuk.A lecture on compressive sensing[J].IEEE Signal Processing Magazine,2007,24(4):118-121.
  • 3Guangming Shi,Jie Lin,Xuyang Chen,Fei Qi,Danhua Liu and Li Zhang.UWB echo signal detection with ultra low rate sampling based on compressed sensing[J].IEEE Trans.On Circuits and Systems-Ⅱ:Express Briefs,2008,55(4):379-383.
  • 4Cand,S E J.Ridgelets:theory and applications[I)].Stanford.Stanford University.1998.
  • 5E Candès,D L Donoho.Curvelets[R].USA:Department of Statistics,Stanford University.1999.
  • 6E L Pennec,S Mallat.Image compression with geometrical wavelets[A].Proc.of IEEE International Conference on Image Processing,ICIP'2000[C].Vancouver,BC:IEEE Computer Society,2000.1:661-664.
  • 7Do,Minh N,Vetterli,Martin.Contourlets:A new directional multiresolution image representation[A].Conference Record of the Asilomar Conference on Signals,Systems and Computers[C].Pacific Groove,CA,United States:IEEE Computer Society.2002.1:497-501.
  • 8G Peyré.Best Basis compressed sensing[J].Lecture Notes in Ccmputer Science,2007,4485:80-91.
  • 9V Temlyakov.Nonlinear Methods of Approximation[R].IMI Research Reports,Dept of Mathematics,University of South Carolina.2001.01-09.
  • 10S Mallat,Z Zhang.Matching pursuits with time-frequency dictionaries[J].IEEE Trans Signal Process,1993,41(12):3397-3415.

共引文献706

同被引文献54

  • 1LIU K, SHEN X,ZHANG R, et al.Peformance Analysis of Distributed Reservation Protocol for UWB-based WAPN I J] .IEEE Transaction on Vehicular Technology,2009,58 (2) :902-913.
  • 2SILVA J A N da,CAMPOS M L R de.Spectrally Efficient UWB Pulse Shaping With Application in Orthogonal PSM [ J ] .IEEE transaction on Communications, 2007,56 (2) : 313-322.
  • 3RENZO Di, ANNONI M, GRAZIOSI L A, et al. A Novel Class of Algorithms for Timing Acquisition of Differential Reference UWB Receivers: Architecture, Performance Analysis and System Design [J]. IEEE transaction on Wireless Communications,2008,6(7):2 368-2 387.
  • 4Qiu R C,Liu H P,Shen X.Ultra-wideband for Multiple Access[J].IEEE Communications,2005,43(2):80-87.
  • 5Selmic R R,Mitra A,Challa S,et al.Ultra-wideband Signal Propagation Experiments in Liquid Media[J].IEEE Transactions on Instrumentation and Measurement,2010,59(1):215-220.
  • 6Donoho D L.Compressed Sensing[J].IEEE Transactions on Information Theory,2006,52(4):1289-1306.
  • 7Bajwa Waheed U,Haupt J,Sayeed A M,et al.Compressed Channel Sensing:A New Approach to Estimating Sparse Multipath Channels[J].Proceedings of the IEEE,2010,98(6):1058-1076.
  • 8Lei Shi,Zheng Zhou,Liang Tang,et al.Ultra-wideband Channel Estimation Based on Bayesian Compressive Sensing[C]//Proceedings of2010International Symposium on Communications and Information Technologies.[S.1.]:IEEE Press,2010:774-777.
  • 9Yu Lei,Barbot J P,Zheng Gang,et al.Compressive Sensing With Chaotic Sequence[J].IEEE Signal Processing Letters,2010,17(8):731-734.
  • 10Candes E J,Romberg J,Tao T.Robust Uncertainty Principles:Exact Signal Reconstruction from Highly Incomplete Frequency Information[J].IEEE Transactions on Information Theory,2006,52(2):489-509.

引证文献7

二级引证文献11

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