摘要
针对多输入多输出(MIMO)系统中现行的马尔科夫链蒙特卡洛(MCMC)检测算法复杂度较高的问题,提出了一种SIC-MMSE算法辅助的MCMC检测算法,信号的预估计值和软信息均作为软输入软输出(SISO)检测器的输入,提高了吉布斯采样值的可信度,进而减少采样点数。仿真结果表明,同样的信噪比情况下,达到相同误码率时,与传统MCMC算法相比,改进MCMC算法的复杂度明显降低。
According to the problem that the current MCMC detection algorithm has a high computational complexity, an improved MCMC detection algorithm in Turbo-MIMO system is proposed. With assisting of the MMSE soft-interference-cancellation （SIC-MMSE） algorithm, the traditional iterative receiver structure is changed. The previously estimated value and the extrinsic information of the transmitted signal are the inputs of the SISO detector, which increase the reliability of the samples of Gibbs sampler and thus reduce the samples. The simulation results show that the proposed algorithm is capable of achieving the same performance as the traditional algorithm do with less complexity at the same SNR points.
出处
《电子技术应用》
北大核心
2010年第1期107-110,共4页
Application of Electronic Technique
基金
国家"863"高技术研究发展计划资助项目(2008AA12z111)
国家自然科学基金资助项目(60772156)
