慢衰落信道下的自适应MIMO检测算法

针对现有V-BLAST检测算法复杂度高的问题，本文提出了一种适用于慢衰落信道环境下的自适应MIMO检测算法。该算法首先利用基于最小均方误差准则的排序干扰抵消算法获得信号检测顺序和初始滤波器系数；利用信道之间的相关性，应用最小均方误差（LMS）算法到判决反馈均衡（DFE）结构中，完成滤波器系数的更新，从而避免了大量的矩阵求逆操作。仿真结果表明，与传统的MMSE-OSIC算法相比，本文算法在检测性能上略有下降，但具有更低的计算复杂度和更高的处理效率。 

Adaptive MIMO Detection Algorithm in Fading Slowly Channels

Aiming at high complexity of existing detection algorithm in V-BLAST system, a adaptive MIMO detection algorithm based on fading slowly channels is proposed in this paper. This scheme acquires the signal detection order and initial filter weight vectors through the Ordered Successive Interference Cancellation (OSIC) algorithm based on Minimum Mean Square Error (MMSE) criterion. The filter weight vectors can be updated by applying the Least Mean Square (LMS) algorithm into Decision Feedback Equalizer (DFE) according to the channel correlation, in which lots of matrix inversing operation. Simulation results show that the proposed algorithm can acquire lower computation complexity and higher processing efficiency in spite of a little performance degradation compared with traditional MMSE-OSIC detection algorithm.