大规模MIMO系统中低复杂度的稀疏信道估计

方昕; 刘云驹; 曹海燕; 潘鹏

doi:10.11959/j.issn.1000-0801.2016149

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大规模MIMO系统中低复杂度的稀疏信道估计

研究与开发 | 更新时间：2024-06-05

- 大规模MIMO系统中低复杂度的稀疏信道估计
- Low-complexity sparse channel estimation for massive MIMO systems
- 电信科学 2016年32卷第5期页码：89-95
- 作者机构：
- 作者简介：
  
  [ "方昕（1975-），女，博士，杭州电子科技大学副教授、硕士生导师，主要研究方向为4G、5G移动通信系统物理层算法等。" ]
  [ "刘云驹（1991-），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为大规模MIMO系统。" ]
  [ "曹海燕（1975-），女，博士，杭州电子科技大学副教授、硕士生导师，主要研究方向为宽带无线扩频通信理论、无线分集技术、OFDM多载波调制技术、信息论与编码技术以及MIMO与空时编码理论。" ]
  [ "潘鹏（1983-），男，博士，杭州电子科技大学副教授、硕士生导师，主要研究方向为多用户检测技术、协作通信理论与技术和通信系统。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61501158);浙江省教育厅科学基金资助项目;The Education Department Foundation of Zhejiang Province of China(LY14F010019);浙江省固态存储和数据安全关键技术重点科技重新团队资助项目;Solid State Storage and Data Security Key Technology of Zhejiang Province of China(2013TD03)
- DOI：10.11959/j.issn.1000-0801.2016149
  中图分类号： TN911.22
- 网络出版日期：2016-05，
  
  纸质出版日期：2016-05-20
- 稿件说明：
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方昕, 刘云驹, 曹海燕, 等. 大规模MIMO系统中低复杂度的稀疏信道估计[J]. 电信科学, 2016,32(5):89-95.

Xin FANG, Yunju LIU, Haiyan CAO, et al. Low-complexity sparse channel estimation for massive MIMO systems[J]. Observation and communication, 2016, 32(5): 89-95.
方昕, 刘云驹, 曹海燕, 等. 大规模MIMO系统中低复杂度的稀疏信道估计[J]. 电信科学, 2016,32(5):89-95. DOI： 10.11959/j.issn.1000-0801.2016149.

Xin FANG, Yunju LIU, Haiyan CAO, et al. Low-complexity sparse channel estimation for massive MIMO systems[J]. Observation and communication, 2016, 32(5): 89-95. DOI： 10.11959/j.issn.1000-0801.2016149.

摘要

针对大规模多输入多输出（MIMO）系统信道估计算法复杂度高的缺陷，结合无线通信信道固有的稀疏性提出了一种低复杂度的稀疏信道估计算法。该算法是在传统的离散傅里叶变换（DFT）信道估计的基础上利用分离算法将信道抽头与噪声空间分离开来，使得信道估计时只需要计算信道抽头的部分，因此算法的计算复杂度被大大降低。仿真结果表明，该算法在保持低复杂度的同时，可获得接近最小均方误差（MMSE）性能。

Abstract

Due to the high computational complexity of massive MIMO system

a low-complexity sparse channel estimation algorithm was proposed utilizing the inherent sparsity of the wireless communication channel to improve the estimation performance.The proposed algorithm separated channel tap from noise space based on the traditional discrete Fourier transform by adopting integral separation algorithm.This channel estimation algorithm need only calculate the channel tap

thus markedly reducing complexity of the algorithm.Numerical simulations show that proposed algorithm can approach to the performance of the minimum mean-square error estimator while maintaining lower complexity.

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references

MARZETTA T L . Noncooperative cellular wireless with unlimited numbers of base station antennas [J ] . IEEE Transactions on Wireless Communications , 2010 , 9 ( 11 ): 3590 - 3600 .

JUNGNICKEL V , MANOLAKIS K , ZIRWAS W , et al . The role of small cells,coordinated multipoint,andmassive MIMO in 5G [J ] . IEEE Communications Magazine , 2014 , 52 ( 5 ): 44 - 51 .

PANZNER B , ZIRWAS W , DIERKS S , et al . Deployment and implementation strategies for massive MIMOin 5G [C ] // The 2014 IEEE Globecom Workshops （GC Wkshps）， Dec 8 - 12 , 2014 , Austin,TX,USA . New Jersey : IEEE Press , 2014 : 346 - 351 .

BJOMSON E , HOYDIS J , KOUNTOURIS M , et al . Massive MIMO systems with non-ideal hardware:Energy efficiency,estimation,and capacity limits [J ] . IEEE Transactions onInformation Theory , 2014 , 60 ( 11 ): 7112 - 7139 .

LARSSON E , EDFORS O , TUFVESSON F , et al . Massive MIMO for next generation wireless systems [J ] . IEEE Communications Magazine , 2014 , 52 ( 2 ): 186 - 195 .

FANG X , ZHANG Y F , CAO H Y , et al . Spectral and energy efficiency analysis with massive MIMO systems [C ] // The 16th IEEE International Conference on Communication Technology ， Oct 18 - 20 , 2015 , Hangzhou,China . New Jersey : IEEE Press , 2015 : 837 - 843 .

LI P . Data aided channel estimation in massive MIMO systems [C ] // The 2014 International Workshop onHigh Mobility Wireless Communications（HMWC）， Nov 1 - 3 , Beijing,China . New Jersey : IEEE Press , 2014 : 3 .

MASOOD M , AFITY L H , AL-NAFFOURI T Y . Efficient collaborative sparse channel estimation in massive MIMO [C ] // The 2015 IEEE International Conference on Acoustics,Speech and Signal Processing （ICASSP）， April 19 - 24 , 2015 , South Brisbane,QLD,Australia . New Jersey : IEEE Press , 2015 : 2924 - 2928 .

XU F Y , XIAO Y , WANG D . Adaptive semi-blind channel estimation for massive MIMO systems [C ] // The 2014 12th International Conference onSignal Processing（ICSP）， Oct 19 - 23 , 2014 , Hangzhou,China . New Jersey : IEEE Press , 2014 : 1698 - 1702 .

NGO H Q , LARSSON E G . Blind estimation of effective downlink channel gains in massive MIMO [C ] // The 2015 IEEE International Conference onAcoustics,Speech and Signal Processing（ICASSP）， April 19 - 24 , 2015 , South Brisbane,QLD,Australia . New Jersey : IEEE Press , 2015 : 2919 - 2923 .

SHARIATI N , BJORNSON E , BENGTSSON M , et al . Low-complexity channel estimation in large-scale MIMO using polynomial expansion [C ] // The 2013 IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications（PIMRC）， Spet 8 - 11 , 2013 , London,England . New Jersey : IEEE Press , 2013 : 1157 - 1162 .

SHARIATI N , BJOMSON E , BENGTSSON M , et al . Low-complexity polynomial channel estimation in large-scale MIMO with arbitrary statistics [J ] . IEEE Journal of Selected Topics in Signal Processing , 2014 , 8 ( 5 ): 815 - 830 .

GUI G , LIU N , XU L , et al . Low-complexity large-scale multiple-input multiple-output channel estimation using affine combination of sparse least mean square filters [J ] . IET Communications , 2015 , 9 ( 17 ): 2168 - 2175 .

KOLOMVAKIS N , MATTHAIOU M , COLDREY M . Massive MIMO in sparse channels [C ] // The 2014 IEEE 15th International Workshop on Signal ProcessingAdvances in Wireless Communications （SPAWC）， June 22 - 25 , 2014 , Toronto,ON,Canada . New Jersey : IEEE Press , 2014 : 21 - 25 .

SHARIATIi N , BJOMSON E , BENGTSSON M , et al . Low-complexity polynomial channel estimation in large-scale MIMO with arbitrary statistics [J ] . IEEE Journal of Selected Topics in Signal Processing , 2014 , 8 ( 5 ): 815 - 830 .

LI C G , ZHANG S L, , LIU P , et al . Overhearing protocol design exploiting inter-cell interference in cooperative green networks [J ] . IEEE Transactions on Vehicular Technology , 2016 : 441 - 446 .

LI C G , SUN F , CIOFFI J M , et al . Energy efficient MIMO relay transimissions via joint power allocations [J ] . IEEE Transactions on Circuits and Systems-Ⅱ , 2016 : 531 - 535 .

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