上行多用户MIMO系统检测算法及抗远近效应研究

上行多用户MIMO通信系统必须抑制用户间的共信道干扰，本文提出了一种基于最大信号干扰噪声比准则的多用户干扰抑制算法，并且给出了其在存信在道估计误差时的改进算法。与BD算法相比，该算法考虑了噪声的影响，性能有较大的提升。然后提出了一种信号重组方法将Alamouti空时编码用于上行多用户系统中，以进一步提升系统的检测性能。最后针对存在远近效应时算法的局限性，提出了一种分组优化算法，以保证各用户均能达到所期望的容量。仿真结果表明本文所提算法具有优异的性能。

Study on detecting algorithm and near-far resistant in Uplink multiuser MIMO

Co-channel interference must be suppressed in Uplink multiuser MIMO system. In this paper, an algorithm based on the criterion of maximizing signal to interference and noise ratio was proposed to suppress multiuser interference, and the improved algorithm in the presence of channel estimation error was also provided. In comparison with BD algorithm, The algorithm taked into account the influence of noise, and the performance had greatly improved. Then a method of reconstructing signals was proposed to employ Alamouti space-time coding in uplink multiuser MIMO system for the reason of further improving the detection performance. Finally aimed at limitations of algorithms with the near-far effect, an optimization algorithm of grouping users was proposed to ensure that each user can achieve the acceptable capacity. Simulation shows that the proposed algorithms achieve good performance.