期刊文献+

用于有虚载波OFDM系统的信道估计算法 被引量:1

Channel estimation for OFDM systems with virtual carriers
下载PDF
导出
摘要 提出了一种适用于有虚载波的正交频分复用系统的改进信道估计算法。由于传统的信道估计器无法估计虚载波处的信道传输函数,从而逆离散傅里叶变换导致信道能量泄漏,使得时域滤波方法不能直接应用。为了解决这个问题,利用信道冲激响应的有限性,推导了以最小二乘法(least square,LS)来估计虚载波处的信道传输函数。进一步观察信号子空间和噪声子空间中噪声的相关性,使用最大后验概率准则估计出信号子空间的噪声并消除其带来的估计误差。该算法不仅可在训练模式下应用,也可推广应用于基于判决反馈的跟踪模式。仿真结果表明,改进算法无误符号率平台效应,且其误符号率较传统LS算法有2 dB的信噪比增益。 An improved channel estimation algorithm for orthogonal frequency division multiplexing(OFDM) systems with virtual carriers is proposed.As conventional estimator cannot estimate the channel transfer function(CTF) at virtual carriers,which makes channel energy leakage after inverse discrete Fourier transform,and the time domain filtering method is not directly applicable.To circumvent this problem,the least square(LS) method is applied to estimate the CTF at virtual carriers by using the limitation of channel impulse response(CIR).Further,by exploiting the noise correlativity between signal subspace and noise subspace,the maximum a posterior probability(MAP) criterion is applied to estimate the noise in signal subspace and then the estimation error brought by it is also suppressed.In addition to the training mode,the proposed method can also be extended and used in the tracking mode with dicison-aided feedback.Simulation results show that the improved scheme is free of symbol error rate(SER) floor,and its SER attains 2 dB signal-to-noise ratio gains compared with that of regular LS estimator.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2010年第8期1574-1577,共4页 Systems Engineering and Electronics
基金 国家杰出青年科学基金(60725105) 国家重点基础研究发展计划(2009CB320404) 国家自然科学基金(60902032 60902033 60702057) 国家重点实验室专项基金(ISN02080001) 国家高技术研究发展计划(863计划)(2007AA01Z288) 高等学校创新引智计划(B08038) 教育部科学技术研究重点项目(107103) 长江学者和创新团队发展计划(IRT0852)资助课题
关键词 正交频分复用 信道估计 最大后验概率 虚载波 orthogonal frequency division multiplexing(OFDM) channel estimation maximum a posterior probability(MAP) virtual carrier
  • 相关文献

参考文献12

  • 1Hwang T,Yang C Y,Wu G,et al.OFDM and its wireless applications:a survey[J].IEEE Trans.on Vehicular Technology,2009,58(4):1673-1694.
  • 2Proakis J G.Digital communications[M].4th ed.New York:McGra-Hill,2003.
  • 3van de Beek J J,Edfors O,Sandell M,et al.On channel estimation in OFDM systems[C]//Proc.of IEEE 45th Vehicular Technology Conference,1995:815-819.
  • 4Edfors O,Sandell M,van de Beek J J,et al.OFDM channel estimation by singular value decomposition[J].IEEE Trans.on Communications,1998,46(7):931-939.
  • 5Li Y,Cimini L J Jr,Sollenberger N R.Robust channel estimation for OFDM systems with rapid dispersive fading channels[J].IEEE Trans.on Communications,1998,46(7):902-915.
  • 6Nair J P,Raja Kumar R V.An iterative channel estimation method using superimposed training in OFDM systems[C]//Proc.of IEEE 68th Vehicular Technology Conference,2008:1-5.
  • 7Yang Weiwei,Cai Yueming.Pilot embedded semi-blind channel estimation for MIMO-OFDM[C]//Proc.of 9th International Symposium on Signal Processing and Its Applications,2007:1-4.
  • 8Kim B,Jung S Y,Kim J,et al.Hidden pilot based precoder design for MIMO-OFDM systems[J].Communications Letters,2008,12(9):657-659.
  • 9Tran N N,Tuan H D,Nguyen H H.Orthogonal affine precoder design for jointly optimal channel estimation and symbol detection in MIMO-OFDM systems[C]// International Symposium on Communications and Information Technologies,2007:983-988.
  • 10IEEE Std 802.11TM-2007,Part11:Wireless LAN medium access control (MAC) and physical layer (PHY) specifications:high speed physical layer in the 5 GHz band[S].2007.

同被引文献14

  • 1Radosevic A, Duman T M, Proakis J G, et al. Selective decision directed channel estimation for UWA OFDM systems [C]// Proc. of the 49th Annual Allerton Conference on Communica- tion, Control, and Computing, 2011 : 647 - 653.
  • 2Huang X P, Lawrence V B. OFDM with pilot aided channel esti- mation for time-varying shallow water acoustic channels[C]// Proc. of the International Conference on Communications and Mobile Computing, 2010 : 442 - 446.
  • 3Wang C, Li Q, Fang Y J. An improved least square channel es- timation algorithm for underwater acoustic OFDM systems[C]//Proc. of the 2nd International Conference on Future Computer and Communication, 2010:577 - 580.
  • 4Rosati S, Corazza G E, Vanelli-Coralli A. OFDM channel esti- mation based on impulse response decimation: analysis and novel algorithms[J]. IEEE Trans. on Communications, 2012, 60(7) : 1996- 2008.
  • 5Hou S B, Jiang J M. Low complexity fast LMMSE-based chan- nel estimation for OFDM systems in frequency selective Rayleigh fading channels[C] // Proc. of the IEEE Vehicular Technology Conference, 2012 : 1 - 5.
  • 6Baxley R J, Kleider J E, Zhou G T. Pilot design for OFDM with null edge subearriers[J]. IEEE Trans. on Wireless Communica- tions, 2009,8(1): 396-405.
  • 7Muruganathan S D, Krzymienn. W A, Sesay A B. Null. sub-car- rier aided reference symbol mapping for improved channel esti- mation in 3GPP LTE downlink[C]//Proc, of the IEEE Vehicu- lar Technology Conference, 2010 : 1 - 5.
  • 8Wang X Q, Wang J T, Wang Z C, et al. Improved DFT-based channel estimation for OFDM systems over multipath chan- nels[C]//Proc, of the 6th International Wireless Communica- tions and Mobile Computing Conference, 2010: 585- 590.
  • 9Guo Q L, Wu M Q, Zhang Q J, et al. Channel estimation for OFDM systems over time-varying and sparse dispersive chan- nels[C]//Proc, of the 75th 1EEE Vehicular Technology Con- ference, 2012:1-5.
  • 10Manasseh E, Ohno S, Nakamoto M. Combined channel estima- tion and PAPR reduction technique for MIMO OFDM systems with null subcarriers[J]. EURASIP Journal on Wireless Com- munications and Networking, 2012(1) : 201.

引证文献1

二级引证文献6

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