An Enhanced EM/SAGE-based H-infinity Channel Estimator for MIMO-OFDM Systems  

作　　者：XU Peng WANG Jinkuan QI Feng SONG Xin 

机构地区：[1]School of Information Science and Engineering, Northeastern University, Shenyang 110004, China [2]ESAT-TELEMIC, K.U. Leuven, Belgium 3001

出　　处：《Chinese Journal of Electronics》2011年第4期708-712,共5页电子学报（英文版）

基　　金：This work is supported by the National Natural Science Foundation of China （No.60874108, No.60904035, No.61004052）, Natural Science Foundation of Liaoning Province （No.20102064）, the Directive Plan of Science Research from the Bureau of Education of Hebei Province, China （No.Z2009105）, and the Central Colleges Basic Scientific Operating Expense （No.N100604004）.

摘　　要：This paper proposes a low-complexity and robust H-infinity channel estimator for Multiple-input multiple-output （MIMO） Orthogonal frequency division multiplexing （OFDM） systems. To lessen the complexity, the Expectation maximization （EM） and Space-alternating generalized EM （SAGE） algorithms are adopted respec- tively. To treat with the effect of Non-Gaussian noise （NGN） channels, an Equivalent signal model （ESM） is used to enhance the robust of the EM-type H-infinity estimator. Furthermore, joint estimation using Phase shifted orthogonal （PSO） pilot sequences is applied for improving the estimation and the requirement for pilot. Simulation results show that the H-infinity estimator has almost the same Mean square error （MSE） as Maximum a posteriori （MAP） estimator. By using the ESM, the robustness of EM-type based H-infinlty estimator is enhanced against NGN channels. In addition, the MSE and pilot overhead are reduced by applying the joint estimation with PSO.

关 键 词：Orthogonal frequency division multiplexing （OFDM） Multiple-input multiple-output （MIMO） Channel estimation H-INFINITY Expectation maximum （EM） Space-alternating generalized EM （SAGE） Phase shifted orthogonal （PSO）. 

分 类 号：TN929.5[电子电信—通信与信息系统] TN929.533[电子电信—信息与通信工程]