首页|星地链路中基于毫米波大规模MIMO的混合预编码算法研究

星地链路中基于毫米波大规模MIMO的混合预编码算法研究

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为了提升星地链路通信系统频谱效率,针对毫米波(millimeter Wave,mmWave)大规模多输入多输出(Massive Multiple Input Multiple Output,Massive MIMO)系统,在正交匹配追踪(Orthogonal Matching Pursuit,OMP)算法的基础上,提出了一种改进的OMP(Improved-OMP)混合预编码算法.针对星地链路间通信的特定场景,引入了基于扩展的Saleh-Valenzuela(S-V)信道模型;针对OMP算法中求解模拟预编码矩阵时存在迭代次数过多的问题,在结合多步长思想的基础上,从天线阵列响应集合中选取与射频链路(Radio Frequency Chains,RF Chains)相等的前多列作为模拟预编码矩阵;为了克服OMP算法中的伪逆运算复杂度较高的问题,结合矩阵分解和Hölder不等式简化了数字预编码的求解.仿真结果表明,在理想的信道状态信道条件下,当RF Chains的数量和数据流的数量之间的差距较小时,Improved-OMP算法可以获得更优的性能.Improved-OMP方案有效地降低了计算复杂度.
Hybrid Precoding Algorithm Based on Millimeter Wave Massive MIMO in Satellite-Terrestrial Links
To improve the spectral efficiency of the satellite-terrestrial links in satellite communication system,an Improved-OMP hybrid precoding algorithm based on the Orthogonal Matching Pursuit(OMP)algorithm is proposed for millimeter Wave(mmWave)Massive Multiple Input Multiple Output(Massive MIMO)systems.Firstly,an extended Saleh-Valenzuela(S-V)channel model is introduced for the specific scenario of communication between satellite and terrestrial links.Secondly,in order to avoid excessive iterations when solving the analog precoding matrix in OMP,on the basis of the multi-step length,analog precoding matrix is obtained by extracting from the array response set's optimal columns equaling to the number of RF chains.In addition,in order to reduce the high complexity of the inversion operations in the OMP algorithm,matrix decomposition and Holder inequality are combined to simplify the acquisition of digital precoding.Under the ideal channel state conditions,the simulation results demonstrate that the Improved-OMP algorithm can achieve better performance when the gap between the number of RF chains and the number of data streams is small.Furthermore,the Improved-OMP scheme effectively reduces the computational complexity.

satellite-terrestrial linksMassive MIMOmmWavehybrid precodingImproved-OMP algorithm

胡家荣、李伊陶、熊兴中

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四川轻化工大学 自动化与信息工程学院,四川宜宾 644002

星地链路 大规模多输入多输出 毫米波 混合预编码 Improved-OMP算法

四川省科技厅项目人工智能四川省重点实验室开放基金四川轻化工大学研究生创新基金

2023NSFSC19872021RZJ01Y2021055

2024

无线电工程
中国电子科技集团公司第五十四研究所

无线电工程

影响因子:0.667
ISSN:1003-3106
年,卷(期):2024.54(5)
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