期刊文献+

SC-FDE系统自适应信道估计算法

Adaptive Channel Estimation Algorithm in SC-FDE System
下载PDF
导出
摘要 针对单载波频域均衡(Single Carrier Frequency Domain Equalization,SC-FDE)技术中的信道估计算法进行研究,基于传统的频域信道估计算法实时性较差的缺点,提出了一种可自适应跟踪信道变化的最小二乘LS(Least Square,LS)信道估计算法。该算法通过改进SC-FDE系统的帧结构,在时域上完成信道估计。实验结果表明,该算法性能与传统的LS算法相同,但是减少了2次FFT运算,降低了硬件实现复杂度。所提算法通过矩阵乘法运算估计出时域信道值,可以自适应快速跟踪信道的变化,实时性高。 The channel estimation algorithm in SC-FDE system is studied. The traditional frequency domain channel estimation algorithm has poor realtime performace,in view of this problem,this paper proposes a least square channel estimation algorithm which can perform adaptive tracking for channel variation.This algorithm implement channel estimation in time domain by improving the frame structure of SC-FDE system.The experimental results show that the performance of the algorithm is the same as that of the traditional LS algorithm,but it can reduce FFT operation by two times and the complexity of hardware implementation.The proposed algorithm can be used to estimate the time domain channel value by matrix multiplication,and track the channel adaptively and quickly.
作者 王磊 梁恒浩 WANG Lei,LIANG Henghao(Military Representitave Office of Naval Vessels Mating of PLA Navy Stationed in Harbin Region,Harbin 150046,China)
出处 《无线电通信技术》 2018年第6期569-572,共4页 Radio Communications Technology
基金 国家自然科学基金面上项目(61671179)
关键词 单载波频域均衡系统 最小二乘 信道估计 自适应 single carrier frequency domain equalization system least square channel estimation adaptive
  • 相关文献

参考文献1

二级参考文献16

  • 1Sari H,Karam G,Jeanclaude I.Frequency-domain equalization of mobile radio and terrestrial broadcast channels[C].Global Telecommunications Conference,1994,1:1-5. 被引量:1
  • 2Gordon N J,Salmond D J,Smith A F M.Novel approach to nonlinear/non-Gaussian Bayesian state estimation[J].IEE Proceedings F Radar and Signal Processing,1993,140(2):107-113. 被引量:1
  • 3Negusse S,Zetterberg P.Cost reference particle filter in data aided channel estimation and phase noise tracking for OFDM systems[C].IEEE International Conference on Acoustics,Speech,and Signal Processing,2012:3153-3156. 被引量:1
  • 4Jaechan Lim,Daehyoung Hong.Gaussian particle filtering approach for carrier frequency offset estimation in OFDM systems[J].IEEE Signal Processing Letters,2013,20(4):367-370. 被引量:1
  • 5Chu D.Polyphase codes with good periodic correlation properties[J].IEEE Transactions on Information Theory,1972,18(4):531-532. 被引量:1
  • 6Frank R,Zadoff S,Heimiller R.Phase shift pulse codes with good periodic correlation properties[J].IRE Transactions on Information Theory,1962,8(6):381-382. 被引量:1
  • 7Zeng Yong-hong,Ng T S.Pilot cyclic prefixed single carrier communication:channel estimation and equalization[J].IEEE Signal Processing Letters,2005,12(1):56-59. 被引量:1
  • 8Wang Hong-shen,Chang Pao-chi.On verifying the firstorder Markovian assumption for a Rayleigh fading channel[J].IEEE Transactions on Vehicular Technology,1996,45(2):353-357. 被引量:1
  • 9Doucet A,Godsill S,Andrieu C.On sequential Monte Carlo sampling methods for Bayesian filtering[J].Statistics and Computing,2000,10:197-208. 被引量:1
  • 10Arulampalam M S,Maskell S,Gordon N,et al.A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking[J].IEEE Transactions on Signal Processing,2002,50(2):174-188. 被引量:1

共引文献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