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动态混合型SMC+Turbo MIMO解调算法
引用本文:石海,王心华. 动态混合型SMC+Turbo MIMO解调算法[J]. 上海大学学报(自然科学版), 2006, 12(1): 5-9
作者姓名:石海  王心华
作者单位:上海大学,通信与信息工程学院,上海,200072
摘    要:递归蒙特卡洛(Sequential Monte Carlo,SMC)算法是一种有效降低算法复杂度的次优化算法,该算法嵌入到迭代Turbo接收机中可形成低复杂度、高解调性能的SMC+Turbo MIMO解调接收机.该文针对该解调接收机中的混合型SMC MIMO解调算法,运用动态化参数进行改进.仿真结果表明,动态混合型SMC+Turbo MIMO解调算法可以在不增加算法复杂度的基础上有效地提高一般混合型方案的性能.

关 键 词:递归蒙特卡洛  慢动态化  快动态化
文章编号:1007-2861(2006)01-0005-05
收稿时间:2005-01-19
修稿时间:2005-01-19

Dynamic Hybrid SMC + Turbo MIMO Demodulation Receiver
SHI Hai,WANG Xin-hua. Dynamic Hybrid SMC + Turbo MIMO Demodulation Receiver[J]. Journal of Shanghai University(Natural Science), 2006, 12(1): 5-9
Authors:SHI Hai  WANG Xin-hua
Abstract:Sequential Monte Carlo(SMC) algorithm is a sub-optimal method that can efficiently reduce computational complexity.Embedded into Turbo receiver,it can form an SMC Turbo MIMO receiver with low complexity and high demodulation performance.In this paper,a new hybrid SMC MIMO demodulation algorithm with a dynamic parameter is presented.Simulation results show that the demodulation performance is enhanced without causing increased complexity related to the original hybrid scheme.
Keywords:sequential Monte Carlo   slow dynamic   fast dynamic
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