电信科学 ›› 2018, Vol. 34 ›› Issue (12): 46-52.doi: 10.11959/j.issn.1000-0801.2018288

• 研究与开发 • 上一篇    下一篇

基于压缩感知的大规模MIMO信道估计与反馈

毛攀,黄小光,汪伟,宋建   

  1. 华信咨询设计研究院有限公司,浙江 杭州 310014
  • 修回日期:2018-11-08 出版日期:2018-12-01 发布日期:2019-01-02
  • 作者简介:毛攀(1991-),男,华信咨询设计研究院有限公司助理工程师,主要研究方向为无线网规划和设计。|黄小光(1983-),男,华信咨询设计研究院有限公司高级工程师,主要研究方向为无线网络规划、优化和设计。|汪伟(1980-),男,华信咨询设计研究院有限公司高级工程师,主要研究方向为无线网规划、优化和设计。|宋建(1984-),男,华信咨询设计研究院有限公司工程师,主要研究方向为无线网规划和设计。

Massive MIMO channel estimation and feedback based on compressed sensing

Pan MAO,Xiaoguang HUANG,Wei WANG,Jian SONG   

  1. Huaxin Consulting Co.,Ltd.,Hangzhou 310014,China
  • Revised:2018-11-08 Online:2018-12-01 Published:2019-01-02

摘要:

针对大规模 MIMO系统信道估计精度低及反馈方案较为复杂的问题,在差分信道估计及反馈方案上提出了一种基于系数相关性的压缩采样匹配追踪(BCC-CoSAMP)算法。该算法将CoSAMP算法中衡量两个向量之间关系的内积替换为基于相关系数的向量关系判定,从而较快地选出与原始信号相关性强的原子,达到提高信道估计精度的目的。仿真结果表明,与CoSAMP算法相比,所提出的BCC-CoSAMP算法在低信噪比情况下,信道估计精度平均有5 dB的提高,同时能平均提高系统总速率1.25 bit/(s.Hz)。

关键词: 大规模多输入多输出, 压缩采样匹配追踪, 信道估计, 反馈开销

Abstract:

Focused on the issue that the problem of low precision of channel estimation and complex feedback scheme in massive MIMO system,a compression sampling matching pursuit (BCC-CoSAMP) algorithm based on coefficient correlation was proposed in the differential channel estimation and feedback scheme.In this algorithm,the inner product of the relationship between two vectors in the CoSAMP algorithm was replaced by the vector relation based on the correlation coefficient,so the atoms with strong correlation of the original signal were quickly selected to improve the accuracy of channel estimation.The simulation results show that the proposed BCC-CoSAMP algorithm has an improved channel estimation accuracy compared with the CoSAMP algorithm and an average increase of the total system rate of 1.25 bit/(s.Hz) at low signal to noise ratio (SNR).

Key words: massive MIMO, compressive sampling matching pursuit, channel estimation, feedback overhead

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