基于SOMP方法的分布式MIMO系统载波频偏估计

黄艳艳; 彭华

doi:10.11959/j.issn.1000-436x.2018142

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基于SOMP方法的分布式MIMO系统载波频偏估计

论文Ⅱ：学术论文 | 更新时间：2024-06-05

- 基于SOMP方法的分布式MIMO系统载波频偏估计
- Carrier frequency offsets estimation for distributed MIMO system based on SOMP method
- 通信学报 2018年39卷第8期页码：133-139
- 作者机构：
  
  信息工程大学信息系统工程学院，河南郑州 450002
- 作者简介：
  
  [ "黄艳艳（1986-），女，浙江乐清人，信息工程大学博士生，主要研究方向为分布式MIMO系统的同步与均衡技术等。" ]
  [ "彭华（1973-），男，江西萍乡人，博士，信息工程大学教授、博士生导师，主要研究方向为软件无线电和通信信号处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61401511)
- DOI：10.11959/j.issn.1000-436x.2018142
  中图分类号： TN911.7
- 网络出版日期：2018-08，
  
  纸质出版日期：2018-08-25
- 稿件说明：
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黄艳艳, 彭华. 基于SOMP方法的分布式MIMO系统载波频偏估计[J]. 通信学报, 2018,39(8):133-139.

Yanyan HUANG, Hua PENG. Carrier frequency offsets estimation for distributed MIMO system based on SOMP method[J]. Journal on communications, 2018, 39(8): 133-139.
黄艳艳, 彭华. 基于SOMP方法的分布式MIMO系统载波频偏估计[J]. 通信学报, 2018,39(8):133-139. DOI： 10.11959/j.issn.1000-436x.2018142.

Yanyan HUANG, Hua PENG. Carrier frequency offsets estimation for distributed MIMO system based on SOMP method[J]. Journal on communications, 2018, 39(8): 133-139. DOI： 10.11959/j.issn.1000-436x.2018142.

摘要

首先根据高阶循环累积量的半不变性重新推导了信号和高阶循环累积量之间的关系式，然后利用SOMP方法联合重构出多个接收天线信号的高阶循环累积量，最后通过主要非零高阶循环累积量对应的循环频率和频偏的四倍关系，得到多个发送信号的频偏估计。与现有算法相比，所提算法充分利用接收信号间的相关性，提高了低信噪比下的多频偏估计性能，降低了导频数量。

Abstract

By utilizing the half invariant property of high-order cyclic cumulants

the equation of signals and its high-order cyclic cumulants was rederivated first.Then simultaneous orthogonal matching pursuit (SOMP) method was used to jointly reconstruct multiple receiving signals’ high-order cyclic cumulants.At last

according to the fourfold relationship between carrier frequency offsets and cyclic frequencies of main non-zeros high-order cyclic cumulants

multiple transmitting signals’ carrier frequency offsets were obtained.Comparing with existing algorithms

the correlation between receiving signals is fully used by the proposed algorithm

the carrier frequency offset estimation performance at low signal to noise is improved and the pilots numbers are reduced.

关键词

Keywords

references

何春龙 , 任红 , 郑福春 , 等 . 分布式天线系统:资源分配与能效优化 [J ] . 信息科学:中国科学 , 2017 , 47 ( 5 ): 591 - 606 .

HE C L , REN H , ZHENG F C , et al . Distributed antenna systems:resource allocation and energy efficiency optimization [J ] . Information Science:Science China , 2017 , 47 ( 5 ): 591 - 606 .

王清 . 多小区和大规模分布式天线技术研究 [D ] . 济南:山东大学 , 2016 .

WANG Q . Research on multicell and massively distributed antenna techniques [D ] . Jinan:Shandong University , 2016 .

BESSON O , STOICA P . On parameter estimation of MIMO flat-fading channels with frequency offsets [J ] . IEEE Transactions on Signal Processing , 2003 , 51 ( 3 ): 602 - 613 .

YAO Y , NG T S . Correlation-based frequency offset estimation in MIMO system [C ] // IEEE Vehicular Technology Conference . 2003 : 438 - 442 .

董伟 , 李建东 , 吕卓 , 等 . 基于MUSIC和ML方法的MIMO系统参数估计 [J ] . 电子与信息学报 , 2008 , 30 ( 7 ): 1552 - 1556 .

DONG W , LI J D , LV Z , et al . Parameter estimation for MIMO system based on MUSIC and ML methods [J ] . Journal of Electronics ＆ Information Technology , 2008 , 30 ( 7 ): 1552 - 1556 .

ZHANG X , SONG K , LI C G , et al . Parameter estimation for multi-scale multi-lag underwater acoustic channels based on modified particle swarm optimization algorithm [J ] . IEEE Access , 2017 , 5 : 4808 - 4820 .

WANG Y , LI C G , HUANG Y M , et al . Energy-efficient optimization for downlink massive MIMO FDD systems with transmit-side channel correlation [J ] . IEEE Transactions on Vehicular Technology , 2016 , 65 ( 9 ): 7228 - 7243 .

BARON D , DUARTE M F , WAKIN M B , et al . Distributed compressive sensing [C ] // IEEE International Conference on Acoustics Speechand Signal Processing . 2009 : 2886 - 2889 .

PALANGI H , WARD R , DENG L . Distributed compressive sensing:a deep learning approach [J ] . IEEE Transactions on Signal Processing , 2016 , 64 ( 17 ): 4504 - 4518 .

周跃海 , 吴燕艺 , 陈东升 , 等 . 采用时域联合稀疏恢复的多输入多输出水声信道压缩感知估计 [J ] . 电子与信息学报 , 2016 , 38 ( 8 ): 1920 - 1927 .

ZHOU Y H , WU Y Y , CHEN D S , et al . Compressed sensing estimation of underwater acoustic MIMO channels based on temporal joint sparse recovery [J ] . Journal of Electronics ＆ Information Technology , 2016 , 38 ( 8 ): 1920 - 1927 .

DETERME J F , LOUVEAUX J , JACQUES L , et al . On the noise robustness of simultaneous orthogonal matching pursuit [J ] . IEEE Transactions on Signal Processing , 2017 , 65 ( 4 ): 864 - 875 .

JIN S , ZHANG X . Decentralized iterative reweighted algorithm for recovery of jointly sparse signals [C ] // IEEE Wireless Communications and Networking Conference . 2015 : 2109 - 2114 .

GARDNER W A , BROWN W A , CHEN C K . Spectral correlation of modulated signals:Part II-digital modulation [J ] . IEEE Transactions on Communications , 1987 , 35 ( 6 ): 595 - 601 .

XIE L J , WAN Q . Cyclic feature-based modulation recognition using compressive sensing [J ] . IEEE Wireless Communications Letters , 2017 , 6 ( 3 ): 402 - 405 .

PUNCHIHEWA A , ZHANG Q , DOBRE O A , et al . On the cyclostationarity of OFDM and single carrier linearly digitally modulated signals in time dispersive channels:theoretical developments and application [J ] . IEEE Transactions on Wireless Communications , 2010 , 9 ( 8 ): 2588 - 2599 .

BI D J , XIE Y L , LI X F , et al . A sparsity basis selection method for compressed sensing [J ] . IEEE Signal Processing Letters , 2015 , 22 ( 10 ): 1738 - 1742 .

TEMLYAKOV V N . Nonlinear methods of approximation [J ] . Foundations of Computational Mathematics , 2003 , 3 ( 1 ): 33 - 107 .

TSAI Y R , HUANG H Y , CHEN Y C , et al . Simultaneous multiple carrier frequency offsets estimation for coordinated multi-point transmission in OFDM systems [J ] . IEEE Transactions on Wireless Communications , 2013 , 12 ( 9 ): 4558 - 4568 .

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