提高MIMO系统容量的检测算法研究

为了满足通信容量的需求,在发射端和接收端设置多元素天线阵列构成多输入多输出系统,可以显著提高频谱的利用率.基于贝尔实验室提出的非线性迫零检测算法,提出了反向迫零检测算法.理论和仿真证明,在相同信噪比条件下,反向迫零检测算法获得的系统容量高于非线性迫零检测以及线性迫零检测算法.与奇异值分解算法相比,该算法虽然得到的系统容量有所减小,但是由于所需的运算量相对较小,因而易于实现.

On detection algorithm to improve MIMO channel capacity

Wireless communication using multiple-input multiple-output(MIMO) link has recently emerged as one of the most significant technical breakthroughs in order to improve the channel capacity.Aiming at the huge cost of the singular value decomposition and the poor performance of the other existing detection algorithms,this paper establishes a new algorithm called the reverse zero-forcing detection based on the non-linear zero-forcing detection introduced by Bell Lab.The theoreticalanalysis and simulationshowthat the reverse zero-forcingdetection algorithm can provide higher channel capacity as compared with those of the linear and non-linear zero-forcing detection algorithm;and the reverse zero-forcingdetection algorithm can almost be comparable to the singular value decomposition;besides,it needs less computation than that of the singular value decomposition.