在多输入多输出系统中,空分复用是一种获得系统通信容量的有效方式.BLAST(Bell-labs layered space time)是空间复用方式的典型代表.其中VBLAST应用最为广泛,它的检测算法有ML,ZF-DFE,ML-DFE等.本文在以上几种算法的基础上,讨论了信道...在多输入多输出系统中,空分复用是一种获得系统通信容量的有效方式.BLAST(Bell-labs layered space time)是空间复用方式的典型代表.其中VBLAST应用最为广泛,它的检测算法有ML,ZF-DFE,ML-DFE等.本文在以上几种算法的基础上,讨论了信道相关性对检测性能的影响,提出了一种接近ML性能的低复杂度新算法--HPML算法.仿真表明,HPML在获取接近ML性能的同时有效的降低了算法的复杂度.展开更多
SM (spatial multiplexing) can effectively increase the information rate in multiple input multiple output system. BLAST is the typical representation of SM, especially VBLAST, which has some simple de- tection algorit...SM (spatial multiplexing) can effectively increase the information rate in multiple input multiple output system. BLAST is the typical representation of SM, especially VBLAST, which has some simple de- tection algorithms such as ML, ZF-DFE and ML-DFE, etc. However, the existing algorithms cannot approach ML performance. This paper discusses the effect for detection performance by the correlation of channel ma- trix, proposes a new algorithm—HPML detection algorithm, which can approach ML performance with low complexity. In the new algorithm, we travel the first d layers, and use the DFE procedure for the remaining layers, then perform ML detection for all obtained signals. Simulation results show that HPML can approach ML performance when the traveling numbers are not less than half of the number of transmitting antennas, and the algorithm complexity is smaller than ML.展开更多
文摘在多输入多输出系统中,空分复用是一种获得系统通信容量的有效方式.BLAST(Bell-labs layered space time)是空间复用方式的典型代表.其中VBLAST应用最为广泛,它的检测算法有ML,ZF-DFE,ML-DFE等.本文在以上几种算法的基础上,讨论了信道相关性对检测性能的影响,提出了一种接近ML性能的低复杂度新算法--HPML算法.仿真表明,HPML在获取接近ML性能的同时有效的降低了算法的复杂度.
文摘SM (spatial multiplexing) can effectively increase the information rate in multiple input multiple output system. BLAST is the typical representation of SM, especially VBLAST, which has some simple de- tection algorithms such as ML, ZF-DFE and ML-DFE, etc. However, the existing algorithms cannot approach ML performance. This paper discusses the effect for detection performance by the correlation of channel ma- trix, proposes a new algorithm—HPML detection algorithm, which can approach ML performance with low complexity. In the new algorithm, we travel the first d layers, and use the DFE procedure for the remaining layers, then perform ML detection for all obtained signals. Simulation results show that HPML can approach ML performance when the traveling numbers are not less than half of the number of transmitting antennas, and the algorithm complexity is smaller than ML.
