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叠加弱能量训练序列信道估计方法 被引量:5

Channel Estimation Scheme Using Superimposed Training Sequences with Low Power
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摘要 本文提出了一种利用叠加弱能量的周期训练序列进行信道估计的线性最小均方误差(LMMSEE)算法.该方法不需要信道先验信息、不占用宝贵的带宽资源、计算量比常规LS方法更低.理论分析和计算机仿真表明:在训练序列周期比信道冲击响应长度大时,在较低的信噪比下,利用LMMSEE方法估计信道性能比LS方法更佳. A novel superimposed periodic pilot scheme for finite-impulse response (FIR) channel estimation, the linear minimum mean square error estimator (LMMSEE), is investigated. The advantage of the method is that it is simpler to implement without sacrificing the data rate as it needs no information on the channel statistics. Theoretical analysis and computer simulation show that the proposed method are found to exhibit better performance than that of the linear square (LS) method at lower SNR values, provided that the number of pilot tones is sufficiently greater than the channel impulse response's length.
出处 《电子学报》 EI CAS CSCD 北大核心 2008年第1期177-179,共3页 Acta Electronica Sinica
基金 广东省自然科学基金(No.D06300640) 中山市科技计划(No.2006A155) 电子科技大学中山学院青年科技基金(No.2005Y12No.2006Y02No.2006Y05)
关键词 OFDM 信道估计 叠加训练序列 MMSE orthogonal frequency division multiplexing(OFDM) channel estimation superimposed training sequence minimum mean square error(MMSE)
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参考文献2

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同被引文献25

  • 1李元杰,杨绿溪,何振亚.基于隐训练序列的信道估计与跟踪[J].通信学报,2004,25(12):1-7. 被引量:20
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  • 7OROZCO LUGO A G,LARA M M,MCLERNON D C.Channel Estimation Using Implicit Training[J].IEEE Signal Processing,2004,52(01):240-254.
  • 8DAI Xianhua,ZANG Han,LI Dong.Linearly Time-varying Channel Estimation for MIMO/OFDM Ssystems Using Superimposed Training[J].IEEE Communications Letters.2010,58(02):681-693.
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