基于混合遗传算法的导频优化

郑寒冰; 余翔; 王维维

doi:10.11959/j.issn.1000-0801.2016248

您当前的位置：

首页 >

文章列表页 >

基于混合遗传算法的导频优化

研究与开发 | 更新时间：2024-06-05

- 基于混合遗传算法的导频优化
- Hybrid genetic algorithm based optimization of pilotpattern
- 电信科学 2016年32卷第9期页码：75-81
- 作者机构：
- 作者简介：
  
  [ "郑寒冰(1991-)，女，重庆邮电大学硕士生，主要研究方向为无线通信系统。" ]
  [ "余翔(1964-)，男，博士，重庆邮电大学教授、国防研究院院长，主要研究方向为无线通信系统。" ]
  [ "王维维(1988-)，男，重庆邮电大学硕士生，主要研究方向为无线通信系统。" ]
- 基金信息：
  
  国家科技重大专项基金资助项目;The National Science and Technology Specific Program of China(2014ZX03003004-003)
- DOI：10.11959/j.issn.1000-0801.2016248
  中图分类号： TN929
- 网络出版日期：2016-09，
  
  纸质出版日期：2016-09-15
- 稿件说明：
移动端阅览
郑寒冰, 余翔, 王维维. 基于混合遗传算法的导频优化[J]. 电信科学, 2016,32(9):75-81.

Hanbing ZHENG, Xiang YU, Weiwei WANG. Hybrid genetic algorithm based optimization of pilotpattern[J]. Telecommunications science, 2016, 32(9): 75-81.
郑寒冰, 余翔, 王维维. 基于混合遗传算法的导频优化[J]. 电信科学, 2016,32(9):75-81. DOI： 10.11959/j.issn.1000-0801.2016248.

Hanbing ZHENG, Xiang YU, Weiwei WANG. Hybrid genetic algorithm based optimization of pilotpattern[J]. Telecommunications science, 2016, 32(9): 75-81. DOI： 10.11959/j.issn.1000-0801.2016248.

摘要

OFDM系统中，基于压缩感知的稀疏信道估计能够充分利用无线信道的固有稀疏性，进而降低导频开销，提高频谱利用率。针对压缩感知信道估计的导频设计，通过最小化压缩感知理论中测量矩阵的互相关性，提出一种基于混合遗传算法的导频优化方法。该方案首先采用遗传算法获得次优初始导频序列，然后结合导频位置以及导频功率对导频序列逐位进行替换、优化，以使测量矩阵的互相关性最小。MATLAB 仿真结果表明，相比于伪随机导频设计和等间距导频设计，该算法能够保证较低的均方误差和误码率。

Abstract

In OFDM system

sparse channel estimation based on compressed sensing(CS)can make full use of the inherent sparse degree of the wireless channel

which can reduce the pilot overhead and improve the spectrum efficiency.Therefore

a new method based on hybrid genetic algorithm was investigated for the pilot design of CS channel estimation

which was based on the minimization of the matrix cross correlation in the CS theory.In this method

genetic algorithm was used to obtain the initial sub-optimal pilot sequence

and then combined with the pilot position and pilot power

each entry of pilot pattern could be sequentially updated and optimized to make the minimum correlation of measurement matrix.Simulation results show that the proposed method can ensure a better mean square error and bit error rate compared to the pseudo-random pilot design and the equal distance pilot design.

关键词

Keywords

references

IEEE 802.11a-1999 part 11.Wireless LAN medium access control(MAC)and physical layer(PHY)specifications [S ] . 1999 .

LIU Y , TAN Z , HU H , et al . Channel estimation for OFDM [J ] . IEEE Communications Surveys ＆Tutorials , 2014 , 16 ( 4 ): 1891 - 1908 .

GHOSH A , ZHANG J , ANDREWS J G , et al . Fundamentals of LTE [M ] . Upper Saddle River : Prentice Hall PressPress , 2010 : 28 - 41 .

NGUYEN Q D , LUU T T , PHAM L H , et al . Inter-carrier interference suppression combined with channel estimation for mobile OFDM system [C ] // 2016 Second Asian Conference on Defence Technology(ACDT),Jan 21-23,2016,Chiang Mai,Thailand . New Jersey:IEEE Press , 2016 : 61 - 66 .

QI C , WU L , HUANG Y , et al . Joint design of pilot powerand pilot pattern for sparse cognitive radio systems [J ] . IEEE Transactions on Vehicular Technology , 2015 , 11 ( 64 ): 5384 - 5390 .

HU D , WANG X , HE L . A new sparse channel estimation and trackingmethod for time-varying OFDM systems [J ] . IEEE Transactions on Vehicular Technology , 2013 , 9 ( 62 ): 4648 - 4653 .

BARBOTIN Y , VETTERLI M . Fast and robust parametric estimation ofjointly sparse channels [J ] . IEEE Journal on Emerging and Selected Topics in Circuits and Systems , 2012 , 3 ( 2 ): 402 - 412 .

BAJWA W U , HAUPT J , SAYEED A M . Compressed channel sensing:anew approach to estimating sparse multipath channels [J ] . Proceedings of the IEEE , 2010 , 98 ( 6 ): 1058 - 1076 .

HU D , HE L H , WANG X D . An efficient pilot design methodfor OFDM-based cognitive radio systems [J ] . IEEE Transactions on Wireless Communications , 2011 , 10 ( 4 ): 1252 - 1259 .

HE X Y , SONG R F , ZHU W P . Pilot allocation for sparse channel estimation in MIMO-OFDM systems [J ] . IEEE Transactions on Circuits Systems II:Express Briefs , 2013 , 9 ( 60 ): 612 - 616 .

SILVEIRA L R , TANSCHEIT R , VELLASCO M . Quantum-inspired genetic algorithms applied to ordering combinatorial optimization problems [C ] // 2012 IEEE Congress on Evolutionary Computation (CEC),June 10-15,2012,Brisbane,Australia . New Jersey:IEEE Press , 2012 : 1 - 7 .

GUO P , WANG X , HAN Y S . The enhanced genetic algorithms for the optimization design [C ] // 3rd International Conference on Biomedical Engineering and Informatics,Oct 16-18,2010,Yantai,China . New Jersey:IEEE Press , 2010 : 2990 - 2994 .

QI C , WU L . A study deterministic pilot allocation for spare channel estimation in OFDM systems [J ] . IEEE Communications Letters , 2012 , 16 ( 5 ): 742 - 744 .

TROPP J A . Greed is good:algorithmicresults for sparse approximation [J ] . IEEE Transactions on Information Theory , 2004 , 50 ( 10 ): 2231 - 2242 .

QI C , YUE G , WU L . Pilot design schemes for sparse channel estimation in OFDM systems [J ] . IEEE Transactions on Vehicular Technology , 2012 , 4 ( 64 ): 1493 - 1505 .

余翔 , 徐宇明 , 吕世起 , 等 . 一种多点协作压缩感知信道估计伪随机导频图案生成算法 [J ] . 重庆邮电大学学报(自然科学版) , 2015 , 4 ( 27 ): 499 - 505 .

YU X , XU Y M , LV S Q , et al . Generation algorithm of pseudorandom pilot pattern formultipoint cooperative compressive sensing channel estimation [J ] . Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition) , 2015 , 4 ( 27 ): 499 - 505 .

浏览量

647

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据