Time-Varying Distributed MIMO-OFDM Channel Subblock Estimation Based on Slepian Basis

摘要：

To improve the performance of time-varying distributed multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, a subblockwise channel estimation scheme based on discrete prolate spheroidal basis expansion model (DPS-BEM) is proposed. The time-varying channel is well captured by the DPS-BEM, exploiting the unknown channel slepian correlation. The timevariations of the subblock DPS-BEM coefficients are likely much slower than that of the channel. Thus, the DPS-BEM is more convenient to track in time-varying environments. The DPS -BEM coefficients are estimated via subblock-wise, based on timemultiplexed periodically transmitted training symbols. Simulation results show that the proposed algorithm can effectively improve the channel estimation performance.

关键词： Distributed Channel estimation Subblock Slepian

作者: Xiaoping Zhou Yong Fang Min Wang

作者单位: School of Communication and Information Engineering, Key Laboratory of Specialty Fiber Optics and Op School of Communication and Information Engineering, Key Laboratory of Specialty Fiber Optics and Op

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1612-1615

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）