针对Vertical Bell Laboratories Layered Space-Time(V-BLAST)系统中干扰抵消-最小均方误差滤波(Interfer- ence Cancellation-Minimum Mean Square Error filtering:IC-MMSE)迭代检测算法,本文对使用实际估计CSI(Channel State In- fo...针对Vertical Bell Laboratories Layered Space-Time(V-BLAST)系统中干扰抵消-最小均方误差滤波(Interfer- ence Cancellation-Minimum Mean Square Error filtering:IC-MMSE)迭代检测算法,本文对使用实际估计CSI(Channel State In- formation)的IC-MMSE迭代检测算法进行了研究.通过在MMSE滤波中考虑信道估计误差,提出了修正的MMSE滤波.与忽略信道估计误差的MMSE滤波相比,修正的MMSE滤波能够获得较小的均方误差.仿真结果表明采用修正的MMSE滤波能够获得显著的性能增益,同时不会增加计算复杂度.展开更多
In this paper, the iterative Vertical-Bell-lab Layered Space-Time (V-BLAST) decoding algorithm of an Adaptive Modulation and Coding (AMC) system is proposed, and the corresponding MIMO scheme is analyzed. The proposed...In this paper, the iterative Vertical-Bell-lab Layered Space-Time (V-BLAST) decoding algorithm of an Adaptive Modulation and Coding (AMC) system is proposed, and the corresponding MIMO scheme is analyzed. The proposed decoding algorithm adopts iteratively extrinsic information from a Maximum A Posteriori (MAP) decoder as an a priori probability in the two decoding procedures of the V-BLAST scheme of ordering and slicing in an AMC system. Furthermore, the performance of the proposed decoding algorithm is compared with that of a conventional V-BLAST decoding algorithm and a Maximum Likelihood (ML) decoding algorithm in the combined system of an AMC scheme and a V-BLAST scheme. In this analysis, each MIMO schemes are assumed to be parts of the system for performance improvement.展开更多
文摘针对Vertical Bell Laboratories Layered Space-Time(V-BLAST)系统中干扰抵消-最小均方误差滤波(Interfer- ence Cancellation-Minimum Mean Square Error filtering:IC-MMSE)迭代检测算法,本文对使用实际估计CSI(Channel State In- formation)的IC-MMSE迭代检测算法进行了研究.通过在MMSE滤波中考虑信道估计误差,提出了修正的MMSE滤波.与忽略信道估计误差的MMSE滤波相比,修正的MMSE滤波能够获得较小的均方误差.仿真结果表明采用修正的MMSE滤波能够获得显著的性能增益,同时不会增加计算复杂度.
文摘In this paper, the iterative Vertical-Bell-lab Layered Space-Time (V-BLAST) decoding algorithm of an Adaptive Modulation and Coding (AMC) system is proposed, and the corresponding MIMO scheme is analyzed. The proposed decoding algorithm adopts iteratively extrinsic information from a Maximum A Posteriori (MAP) decoder as an a priori probability in the two decoding procedures of the V-BLAST scheme of ordering and slicing in an AMC system. Furthermore, the performance of the proposed decoding algorithm is compared with that of a conventional V-BLAST decoding algorithm and a Maximum Likelihood (ML) decoding algorithm in the combined system of an AMC scheme and a V-BLAST scheme. In this analysis, each MIMO schemes are assumed to be parts of the system for performance improvement.
