您的位置:山东大学 -> 科技期刊社 -> 《山东大学学报(工学版)》

山东大学学报 (工学版) ›› 2019, Vol. 49 ›› Issue (4): 130-136.doi: 10.6040/j.issn.1672-3961.0.2018.175

• 电气工程 • 上一篇    

基于无迹卡尔曼滤波的双选信道估计方法

卢娜1(),高丽1,沈轩帆2   

  1. 1. 商丘职业技术学院, 河南 商丘 476099
    2. 重庆大学微电子与通信工程学院, 重庆 400044
  • 收稿日期:2018-05-08 出版日期:2019-08-20 发布日期:2019-08-06
  • 作者简介:卢娜(1982—),女,河南商丘人,硕士,讲师,主要研究方向为无线通信与网络、网络控制与优化等. E-mail:35361840@qq.com
  • 基金资助:
    河南省科技攻关资助项目(182102210116)

A doubly-selected channel estimation method based on an unscented Kalman filter

Na LU1(),Li GAO1,Xuanfan SHEN2   

  1. 1. Shangqiu Polytechnic, Shangqiu 476099, Henan, China
    2. School of Microelectronic and Communication Engineering, Chongqing University, Chongqing 400044, China
  • Received:2018-05-08 Online:2019-08-20 Published:2019-08-06
  • Supported by:
    河南省科技攻关资助项目(182102210116)

摘要:

针对高速移动场景中由于信道存在时频域选择性衰落(双选衰落)导致正交频分复用(orthogonal frequency division multiplexing, OFDM)通信系统受到子载波间干扰而使通信质量下降的问题,采用基扩展信道模型,在消除子载波间干扰(inter carrier interference, ICI)影响的同时节约信道估计算法的空间复杂度。针对基扩展模型(basis expansion model, BEM)下的非线性信道状态空间模型,采用无迹卡尔曼滤波(unscented Kalman filter, UKF)方法进一步跟踪信道响应提升信道估计精度。仿真分析表明,本研究所提方法能够有效提升信道估计的精度,相对于传统算法具有更好的误码率性能和鲁棒性。

关键词: 信道估计, 双选信道, BEM, UKF

Abstract:

Due to selective fading in time domain and frequency domain (doubly-selective fading) causes the inter carrier interference (ICI) in the orthogonal frequency division multiplexing (OFDM) system, the communication quality would be declined in high speed environment. The basis expansion model (BEM) decreased the spatial complexity of the channel estimation algorithm while eliminating the ICI impact effectively. For the non-linear channel state space model under the BEM, the unscented Kalman filter (UKF) was adopted to track the channel response in time and improve channel estimation accuracy. Simulation results showed that the BEM-UKF was able to effectively improve the accuracy of channel estimation and had better bit error rate (BER) performance and robustness than traditional algorithms.

Key words: channel estimation, doubly-selective channel, BEM, UKF

中图分类号: 

  • TN911.72

表1

仿真系统参数"

参数系统带宽基向量维数Sigma点数参数α参数β调制方式
数值5 MHz12500.75-22QPSK

图1

不同SNR下的NMSE性能"

图2

不同SNR下的BER性能"

图3

不同速度下的NMSE性能"

图4

不同速度下的BER性能"

1 孙君, 袁东风. 小波去噪结合信道估计在OFDM系统中的应用[J]. 山东大学学报(工学版), 2006, 36 (2): 104- 106.
doi: 10.3969/j.issn.1672-3961.2006.02.023
SUN J , YUAN D . Application of wavelet de-noising combined with channel estimation for OFDM systems[J]. Journal of Shandong University(Engineering Science), 2006, 36 (2): 104- 106.
doi: 10.3969/j.issn.1672-3961.2006.02.023
2 SIMON E , KALTENBERGER F . Inter-carrier interference analysis for high-speed trains based on broadband channel measurements[J]. IEEE Antennas & Wireless Propagation Letters, 2016, 15 (3): 1502- 1505.
3 LIU T , CHUNG W , YUAN S , et al. ICI self-cancellation with cosine windowing in OFDM transmitters over fast time-varying channels[J]. IEEE Transactions on Wireless Communications, 2015, 14 (7): 3559- 3570.
doi: 10.1109/TWC.2015.2408325
4 XIE H, GAO F, ZHANG S, et al. Spatial-temporal BEM and channel estimation strategy for massive MIMO time-varying systems[C]//Proceedings of the 2016 IEEE Global Communications Conference. Washington DC, USA: IEEE, 2016: 1-6.
5 廖勇, 沈轩帆, 代学武, 等. 基于扩展卡尔曼滤波的联合迭代检测译码信道估计方法[J]. 电子学报, 2018, 46 (3): 554- 561.
doi: 10.3969/j.issn.0372-2112.2018.03.006
LIAO Yong , SHEN Xuanfan , DAI Xuewu , et al. Joint iterative detector and decoder channel estimation based on extended Kalman filter[J]. Acta Electronica Sinica, 2018, 46 (3): 554- 561.
doi: 10.3969/j.issn.0372-2112.2018.03.006
6 LIAO Y, SHEN X, DAI X, et al. EKF-based joint channel estimation and decoding design for non-stationary OFDM channel[C]// Proceedings of the Global Communications Conference, Singapore. Singapore: IEEE, 2017: 1-6.
7 SARKKA S , SOLIN A , HARTIKAINEN J . Spatiotemporal learning via infinite-dimensional Bayesian filtering and smoothing: a look at Gaussian process regression through Kalman filtering[J]. IEEE Signal Processing Magazine, 2013, 30 (4): 51- 61.
doi: 10.1109/MSP.2013.2246292
8 DAI X , ZHANG W , XU J , et al. Kalman interpolation filter for channel estimation of LTE downlink in high-mobility environments[J]. EURASIP Journal on Wireless Communications and Networking, 2012, 2012 (1): 232- 244.
doi: 10.1186/1687-1499-2012-232
[1] 郭举修,刘芳,王德强,袁东风 . 超宽带系统中有辅助符号的信道估计方法[J]. 山东大学学报(工学版), 2006, 36(4): 104-108 .
[2] 孙君,袁东风, . 小波去噪结合信道估计在OFDM系统中的应用[J]. 山东大学学报(工学版), 2006, 36(2): 104-106 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 王素玉,艾兴,赵军,李作丽,刘增文 . 高速立铣3Cr2Mo模具钢切削力建模及预测[J]. 山东大学学报(工学版), 2006, 36(1): 1 -5 .
[2] 孔祥臻,刘延俊,王勇,赵秀华 . 气动比例阀的死区补偿与仿真[J]. 山东大学学报(工学版), 2006, 36(1): 99 -102 .
[3] 王波,王宁生 . 机电装配体拆卸序列的自动生成及组合优化[J]. 山东大学学报(工学版), 2006, 36(2): 52 -57 .
[4] 李芳佳, 高尚策, 唐政, 石井雅博, 山下和也. 基于元胞自动化模型的三维雪花晶体近似模式的产生(英文)[J]. 山东大学学报(工学版), 2009, 39(1): 102 -105 .
[5] 王勇, 谢玉东.

大流量管道煤气的控制技术研究

[J]. 山东大学学报(工学版), 2009, 39(2): 70 -74 .
[6] 孔维涛,张庆范,张承慧 . 基于DSP的空间矢量脉宽调制(SVPWM)的实现[J]. 山东大学学报(工学版), 2008, 38(3): 81 -84 .
[7] 卜德云 张道强. 自适应谱聚类算法研究[J]. 山东大学学报(工学版), 2009, 39(5): 22 -26 .
[8] 李善评,赵玉晓,乔鹏,冯正志 . 好氧颗粒污泥的培养及基质降解和污泥生长动力学分析[J]. 山东大学学报(工学版), 2008, 38(3): 95 -98 .
[9] 李士进,王声特,黄乐平. 基于正反向异质性的遥感图像变化检测[J]. 山东大学学报(工学版), 2018, 48(3): 1 -9 .
[10] 王伟,毛华永,李国祥,潘世艳,巩厅房,晋世强,郝胜兵 . 一种车用燃油加热器燃烧器的流场数值分析[J]. 山东大学学报(工学版), 2008, 38(3): 64 -68 .