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MIMO-OFDM蜂窝系统中优选训练序列及信道估计

Optimal Training Sequences and Channel Estimation forMIMO-OFDM-Based Cellular Systems
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摘要 对多输入多输出正交频分复用(MIMO-OFDM)蜂窝系统中的信道估计进行了研究,推导了用于多小区多天线的最优训练序列条件,给出了一种实用优选训练序列,并在此基础上提出了一种迭代信道估计算法.结果表明,所提出的迭代信道估计算法可以有效抑制同信道干扰对估计精度的影响,使该估计器具有更高的估计精度,在同信道干扰环境中性能更稳健,从而使接收机性能更靠近理想信道估计的性能. The optimal training sequences for the multiple antennas of the multiple cells in multiple-input and multiple-output orthogonal frequency division multiplexing (MIMO-OFDM)-based cellular systems were derived, and an iterative channel estimation algorithm with co-channel interferences (CCIs) suppression for better estimation was presented. The computer simulation shows that the proposed estimator can achieve much better performance than the conventional channel estimator over multipath fading channels and improve the system performance.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2004年第11期1810-1813,共4页 Journal of Shanghai Jiaotong University
基金 国家自然科学基金资助项目(60272079 60332030) 国家高技术研究发展计划(863)项目(2003AA123310)
关键词 多输入多输出 正交频分复用 最优训练序列 信道估计 同信道干扰抑制 Algorithms Antennas Bit error rate Frequency division multiplexing Interference suppression
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参考文献7

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