标题:Rubost Frequency Synchronization and Channel Estimation Algorithms for Burst-mode MIMO-OFDM
作者:Li Jun; He Bo; Hou Meng; Li Ming-Ming; Wu Wei-ling
通讯作者:Li, J
作者机构:[Li Jun; Hou Meng; Li Ming-Ming; Wu Wei-ling] Beijing Univ Posts & Telecommun, Beijing 100876, Peoples R China.; [Li Jun; Hou Meng] Shandong Inst Li 更多
会议名称:5th IEEE Conference on Industrial Electronics and Applications
会议日期:JUN 15-17, 2010
来源:ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 4
出版年:2010
页码:113-+
关键词:virtual MIMO-OFDM systems; CFO; CIR; mathematics seal solution;; Expectation Maximization (EM)
摘要:This paper presented novel Carrier Frequency Offset (CFO) acquisition together with multi-antenna channel estimation algorithms for burst-mode Multiple-Input Multiple-Output combined with Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems. The new algorithms take full advantage of some known channel information (for example, the length of channel impulse response L which can be estimated easily and explicitly by systems) to reduce computational complexity, the impact of noise and interference. Special time-domain training sequences were designed to accomplish these algorithms in simple and efficient ways. Firstly, the paper derived a precise mathematical model and the coarse CFO acquisition in which the influence of unknown multipath Channel Impulse Response (CIR) can be removed. Then mathematics seal solution Maximum Likelihood (ML) detection for coarse CFO is formulated instead of EM iteration detection. Secondly, time-domain CIR estimation algorithm is formulated with the advantage of noise and residual CFO reduction. Moreover, the new CIR estimator adopts matrix dimension reduction algorithm to reduce computational complexity. Thirdly, to improve the CFO acquisition performance, improved Expectation Maximization (EM) algorithm is employed as fine CFO acquisition. Simulation results indicate that compared with classical EM algorithm, the performance and convergent speed of EM iteration are both improved.
收录类别:CPCI-S
WOS核心被引频次:2
资源类型:会议论文
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