信道估计误差下MIMO OFDM系统的天线选择

Adarsh B. Narasimhamurthy, C. Tepedelenlioğlu
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引用次数: 2

摘要

我们研究了空时频编码多输入多输出(MIMO)正交频分复用(OFDM)系统,该系统在接收机上采用天线选择,其中利用最优训练来执行基于线性最小均方误差(LMMSE)的信道估计。介绍了最大信号功率天线的选择原则。通过对误差概率(PEP)表达式的上界,我们证明了存在信道估计误差(CEE)的系统仍然可以实现完全分集。推导了编码增益损失(LCG)和性能损失(LP)表达式。结果表明,虽然等功率训练的性能比完美的CSI情况差约3db,但根据每个OFDM字分配的子载波数量,两者之间的最优功率训练性能。仿真结果验证了我们的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antenna Selection for MIMO OFDM Systems with Channel Estimation Error
We study space-time-frequency coded multiple- input-multiple-output (MIMO) orthogonal frequency-division multiplexed (OFDM) systems employing antenna selection at the receiver where optimal training has been utilized for performing linear minimum mean square error (LMMSE) based channel estimation. The maximum signal power antenna selection rule is introduced. By upper bounding the pairwise error probability (PEP) expression, we show that the system with channel estimation error (CEE) still achieves full diversity. The loss in coding gain (LCG) and the loss in performance (LP) expressions are derived. It is shown that while equal power training performs about 3 dB worse than the perfect CSI case, the optimal power training performs between the two depending on the number of subcarriers assigned per OFDM word. Simulation results are presented to validate our analysis.
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