平坦衰落MIMO信道的序列蒙特卡罗双层迭代检测
doi: 10.3724/SP.J.1146.2007.00857
Sequential Monte Carlo Double Iterative Detection for Flat Fading MIMO Channel
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摘要: 针对平坦衰落MIMO信道，该文在传统采样检测技术仅依靠时间或空间样本的基础上，提出一种基于序列蒙特卡罗的空时双层迭代采样检测算法。算法将符号的后验概率计算分解为多维的空时双层积分，利用序列蒙特卡罗技术在空间和时间维度上抽取样本，通过加权样本累加得到多维积分的解；同时利用时间样本对信道进行联合估计。仿真结果表明算法可以逼近理想条件下的最优性能，并具有较低的计算复杂度。Abstract: A space-time double iterative Sequential Monte Carlo (SMC) sampling-based detection algorithm is proposed for flat fading MIMO channel，based on traditional algorithms which only focus on time sampling or space sampling. A space-time multidimensional integral is established to compute the signals probability. SMC samples are drawn from both space and time dimensions, and the integral numerical value is approximated by weighted samples. The time samples are also utilized to complete joint channel estimation. The simulation result indicates that the proposed algorithm can obtain the suboptimal performance by low computational complexity.
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