利用训练设计增强空时分组编码MIMO系统的性能

K. Ahmed, M. Patwary, Hongnian Yu
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引用次数: 0

摘要

本文研究了基于最优训练策略的正交空时块编码(OSTBC)多输入多输出系统的性能增强问题。基于配对误差概率(PEP)的性能分析为我们提供了训练设计工具,并为配备任意数量的发射和接收天线以及任意调制方案(如m阵列PSK, MSK和QAM)的OSTBC系统提供了与传统情况相比,由于最佳训练而导致的性能改进的通用表达式。可以观察到,接收器中的线性处理是OSTBC最吸引人的特征,尽管在存在信道估计误差(CEE)的情况下破坏了正交性,但不会降低分集,而是由于训练导致信噪比损失而导致性能损失。这种性能损失被量化分析,并通过在训练和数据符号之间优化分配功率来最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance enhancement of space time block coded MIMO systems using training design
This paper considers the performance enhancement of orthogonal space time block coded (OSTBC) multiple-input multiple-output system based on an optimal training strategy. Pairwise error probability (PEP) based performance analysis provides us the training design tools as well as a generic expression for the performance improvement due to optimal training compared to the conventional case for OSTBC system equipped with any number of transmit and receive antennas and any modulation schemes, e.g., M-array PSK, MSK and QAM. It is observed that the linear processing in the receiver, the most attractive feature of OSTBC, although destroys the orthogonality in the presence of channel estimation error (CEE), does not reduce diversity, but, causes performance penalty as a loss of SNR due to training. This loss of performance is quantified analytically and minimized by optimal allocation of power between training and data symbols.
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