Markov Chain Monte Carlo MIMO Detection Methods for High Signal-to-Noise Ratio Regimes
Markov Chain Monte Carlo MIMO Detection Methods for High Signal-to-Noise Ratio Regimes
复制标题
高信噪比状态下的马尔可夫链蒙特卡罗 MIMO 检测方法
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
B. Farhang
中科院分区：
文献类型：
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作者：
Xuehong Mao;Peiman Amini;B. Farhang
马尔可夫链蒙特卡罗方法最近已被用作多输入多输出（MIMO）通信系统中的前端检测器。此外，通过计算机模拟已经证明了此类检测器在低信噪比（SNR）情况下接近容量的性能。然而，也发现马尔可夫链蒙特卡罗MIMO检测器在高信噪比情况下性能下降。本文研究了这种性能下降的原因，并提出了一些特别的方法来解决马尔可夫链蒙特卡罗MIMO检测器的这种不良行为。通过经验（模拟）结果展示了所提出方法的有效性。
Markov Chain Monte Carlo methods have recently been applied as front-end detectors in multiple- input multiple-output (MIMO) communication systems. Moreover, the near capacity behavior of such detectors in low signal-to-noise ratio (SNR) regimes have been demonstrated through computer simulations. However, it has also been found that the MCMC MIMO detectors degrade in high SNR regimes. This paper investigates into the source of this degradation and proposes a number of ad hoc methods to resolve this undesirable behavior of the MCMC MIMO detectors. The effectiveness of the proposed methods is shown through empirical (simulation) results.