MCMC算法在MIMO系统检测中的应用
pplication of MCMC Method in Detection Algorithm of MIMO Systems
理论表明，基于蒙特卡罗-马尔可夫链模型(MCMC)的多入多出(MIMO)系统非最优化检测方法可以提高系统的检测效率，对比已有的球形译码检测方法(SD)，该方法在相同的信噪比的情况下有较小的误码率。本文通过对两种检测方法的分析，并对比MAP迭代检测方法，提出可以提高已有的球形译码检测译码效率的基于蒙特卡罗-马尔可夫链的检测方法。仿真结果表明，基于蒙特卡罗-马尔可夫链的检测方法能有效降低误码率。
heory shows that Based on Monte Carlo-Markov chain model of multiple-input multiple-output system non-optimal detection method could improve the detection efficiency , has been compared to the spherical decoding detection method on the same SNR of the smaller BER. Based on these two methods to the analysis and comparison MAP iterative detection method improve the existing detection and decoding spherical decoding efficiency based on the Monte Carlo-Markov chain detection method. Simulation results show that the Monte Carlo-Markov chain method can effectively reduce the error rate.
刘宇、阙大顺
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MIMO系统蒙特卡罗-马尔可夫链检测(MCMC)球形译码(SD)
multiple-input multiple-output system，Monte Carlo-Markov chain，spherical decoding detection method
刘宇,阙大顺.MCMC算法在MIMO系统检测中的应用[EB/OL].(2008-03-19)[2025-08-10].http://www.paper.edu.cn/releasepaper/content/200803-490.点此复制
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