基于因子图拉伸的SC-FDE联合信道估计接收机

发布时间：2018-04-24 04:15

本文选题：消息传递算法 + 单载波频域均衡　；参考：《电子技术应用》2017年08期

【摘要】：提出了一种基于因子图-消息传递算法的联合信道估计单载波频域均衡(SC-FDE)接收机。针对现有联合信道估计接收机中存在的复杂度和性能之间的矛盾,利用因子图拉伸方法对现有模型进行拉伸变换。变换之后的因子图模型可以将现有模型中的观测节点分割为几个节点的组合,并依据分割后节点的自身特点采用更合适的消息传递规则,进而避免了各种消息传递规则的固有缺陷。仿真结果表明,相比已有联合接收机算法,所提出的基于因子图拉伸和联合期望传播-平均场(BP-MF)算法在提升性能的情况下能够显著降低复杂度。
[Abstract]:A single carrier frequency domain equalization (SC-FDE) receiver for joint channel estimation based on factor graph and message passing algorithm is proposed. In view of the contradiction between complexity and performance in the existing joint channel estimation receivers, the factor graph stretching method is used to transform the existing models. The transformed factor graph model can divide the observation nodes in the existing model into several nodes, and adopt more appropriate message passing rules according to the characteristics of the segmented nodes. Thus avoiding the inherent defects of various messaging rules. The simulation results show that compared with the existing joint receiver algorithms, the proposed algorithm based on factor graph stretching and combined expectation propagation-mean field BP-MF can significantly reduce the complexity of the proposed algorithm in the case of performance improvement.
【作者单位】：解放军信息工程大学信息系统工程学院;河南广播电视大学信息工程学院;郑州大学信息工程学院;清华大学宇航研究中心;
【分类号】：TN851

【相似文献】