毫米波MIMO系统中混合波束赋形算法

发布时间：2018-01-15 05:26

本文关键词：毫米波MIMO系统中混合波束赋形算法　出处：《光通信研究》2017年05期 　论文类型：期刊论文

【摘要】：针对毫米波多输入多输出系统中的混合波束赋形问题,提出一种基于迭代更新思想的混合波束赋形算法,该算法通过提高模拟波束赋形矩阵与误差矩阵的相关性,获得了较优的系统性能。首先所提算法通过不断迭代更新得到误差矩阵,然后对误差矩阵进行奇异值分解得到左奇异值矩阵,并以此获得模拟波束赋形矢量,最后根据得到的模拟矢量更新模拟波束赋形矩阵。仿真结果表明,所提算法的性能优于传统的正交匹配追踪混合波束赋形算法,尤其当数据流数与射频链路数相等且数量较少时,所提算法的性能明显优于正交匹配追踪算法,且更近似于纯数字波束赋形的系统性能。
[Abstract]:A hybrid beamforming algorithm based on iterative updating is proposed to solve the hybrid beamforming problem in millimeter-wave multiple-input multiple-output systems. By improving the correlation between the simulated beamforming matrix and the error matrix, the algorithm achieves better system performance. Firstly, the proposed algorithm obtains the error matrix by iterative updating. Then the error matrix is decomposed to obtain the left singular value matrix, and then the simulated beamforming vector is obtained. Finally, the simulated beamforming matrix is updated according to the obtained analog vector. The simulation results show that. The performance of the proposed algorithm is superior to that of the traditional orthogonal matching tracking hybrid beamforming algorithm, especially when the number of data streams is equal to the number of RF links and the number of the proposed algorithm is less, the performance of the proposed algorithm is obviously better than that of the orthogonal matching tracking algorithm. And it is more similar to the system performance of pure digital beamforming.
【作者单位】：重庆邮电大学通信与信息工程学院;
【基金】：国家科技重大专项基金资助项目(2016ZX03002010-003)
【分类号】：TN919.3
【正文快照】： 0引言在近几年的无线通信发展中,虚拟现实、自动驾驶、物联网大连接以及无线回传等新型应用井喷式地爆发,使得对移动通信数据业务流量的需求急剧增加,对无线移动通信的带宽和传输速率的需求也越来越高。5G移动通信系统旨在为用户提供Gbit/s的传输速率,而现有的频谱资源远不能

【相似文献】