A method based on the maximum a posteriori probability （MAP） criterion is proposed to estimate the channel frequency response （CFR） matrix and interference- plus-noise spatial covariance matrix （SCM） for multiple input and multiple output orthogonal frequency division multiplexing （MIMO-OFDM） systems. An iterative solution is proposed to solve the MAP-based problem and an interference rejection combining （IRC） receiver is derived to suppress co-channel interference （CCI） based on the estimated CFR and SCM. Furthermore, considering the property of SCM, i. e., Hermitian and semi-definite, two schemes are proposed to improve the accuracy of SCM estimation. The first scheme is proposed to parameterize the SCM via a sum of a series of matrices in the time domain. The second scheme measures the SCM on each subcarrier as a low-rank model while the model order can be chosen through the penalized-likelihood approach. Simulation results are provided to demonstrate the effectiveness of the proposed method.
随着物联网的兴起和移动互联网业务种类的日渐丰富,人们对蜂窝移动通信数据传输速率以及服务质量提出了更高的要求。由于能够充分挖掘空间维的自由度,在提高频谱效率的同时获得较好的功率利用率,大规模MIMO系统引起了国内外的广泛关注。大规模MIMO系统配置的大规模天线阵列在带来性能增益的同时也带来了前所未有的挑战,如大规模天线阵列系统下传输方案的设计、急剧增加的系统硬件复杂度和计算复杂度等。首先对大规模MIMO系统下的几种传输方案,如联合空分复用(JSDM)传输方案和大规模多波束空分多址(MB-SDMA)传输方案进行了概述,简略描述了不同传输方案的原理和传输过程,进一步简要介绍了目前正在构建的大规模MIMO原型验证系统Argos和Lu Ma Mi,并展示了不同原型验证系统的整体架构与组件。
