衰落相关信道近似算法及其MassiveMIMO系统分析

周杰; 邹士娇; 陈珍; 菊池久和

doi:10.13568/j.cnki.651094.2018.03.015

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衰落相关信道近似算法及其MassiveMIMO系统分析

信息科学与技术 | 更新时间：2026-01-21

- 衰落相关信道近似算法及其MassiveMIMO系统分析
- 衰落相关信道近似算法及其MassiveMIMO系统分析
- 新疆大学学报（自然科学版中英文） 2018年35卷第3期页码：348-359
- 作者机构：
  
  1. 南京信息工程大学气象探测与信息处理重点实验室
  2. 日本国立新泻大学工学部电气电子工学科
- 作者简介：
- 基金信息：
  
  国家自然科学基金面上项目(61372128);江苏省普通高校自然科学研究计划项目(14KJA510001)
- DOI：10.13568/j.cnki.651094.2018.03.015
  中图分类号： TN929.5
- 纸质出版：2018
- 稿件说明：
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[1]周杰,邹士娇,陈珍,等.衰落相关信道近似算法及其Massive MIMO系统分析[J],2018,35(03):348-359.
[1]周杰,邹士娇,陈珍,等.衰落相关信道近似算法及其Massive MIMO系统分析[J],2018,35(03):348-359. DOI： 10.13568/j.cnki.651094.2018.03.015.

DOI：10.13568/j.cnki.651094.2018.03.015.

摘要

为了准确的研究空间衰落信道模型及其近似算法

用以分析Massive MIMO(Multiple Input and Multiple Output)系统性能和算法效能

本文首先导出在典型PAS下的SFC函数的闭合表达式

然后分析推导了角度扩展时的近似算法以及评估其计算效能

最后建立MIMO多天线接收模型和分析其系统性能.研究揭示了其信道特征的诸多关键因素

阐明阵元接收信号强度变化、阵元衰落信号相关性和信道矩阵分布特征.理论计算和仿真实验得出近似计算法在特定条件下具有很好的拟合度

定量分析了近似算法在对MIMO多天线系统分析时的适用性和计算效率

算法能极大地降低理论计算复杂性

提高分析和仿真大规模Massive MIMO多天线系统的效率.

Abstract

For a more accurate analysis of spatial fading channel model and its approximation algorithm

which is to analyze Massive MIMO(Multiple Input and Multiple Output) System performance and algorithm performance

the closed expression of the SFC function under the typical PAS is deduced firstly in this paper. Then the approximation algorithm is deduced at the time of derivation of the angle estimation and its computational efficiency is evaluated. MIMO multi-antenna receiving model is established and its system performance is analyzed in the end. The research reveals many key factors of its channel characteristics

and the characteristics of the signal strength of the element receiving signal

the correlation of the element fading signal and the distribution of the channel matrix are explained. Theoretical calculation and simulation experiments show that the approximate calculation method has a good fit under certain conditions

and quantitatively analyzes the applicability and computational efficiency of the approximation algorithm in the analysis of MIMO multi-antenna system. The algorithm can greatly reduce the computational complexity and improve the efficiency of large-scale Massive MIMO multi-antenna systems.

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