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一种高频系统信道矩阵低复杂度估计方法

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毫米波/太赫兹通信支持超大工作带宽和超高通信速率,是具备高应用潜力和影响因子的6G关键候选技术。提出了 一种高频通信系统混合赋形架构下的信道矩阵估计方法,可有效估计信道信息,对上下行信道互易性无要求,且通过构造特殊权矢量矩阵,在估计信道矩阵时通过矩阵相乘运算来完成信道矩阵估计,避免了统计协方差矩阵求逆或特征分解运算,大幅度降低信道估计算法的计算复杂度和运算量。
A Low Complexity Channel Matrix Estimation Method for High Frequency System
Millimeter-wave/Terahertz communication is an important 6G candidate technology with high potential and impact factor,which supporting large operating bandwidth and ultra-high communication rate.A high-frequency communication channel estima-tion method for a hybrid beamforming architecture is proposed,which can effectively estimate channel information and have no require-ment for channel reciprocity.The proposed channel matrix estimation algorithm is implemented via matrix multiplication operation by constructing a special weight vector matrix,which avoid statistical covariance matrix inversion or eigendecomposition operation,and greatly reduce the implementation complexity and computing burden.

6G high frequency communicationsuper large arrayshybrid beamforming architecturechannel matrix estimation

马静艳、李福昌、张忠皓

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中国联合网络通信有限公司研究院,北京 100048

6G高频通信 超大规模阵列 混合赋形架构 信道矩阵估计

国家重点研发计划

2020YFB1807401

2024

无线电通信技术
中国电子科技集团公司第五十四研究所

无线电通信技术

北大核心
影响因子:0.745
ISSN:1003-3114
年,卷(期):2024.50(1)
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