Parametric channel modeling based OFDM channel estimation

doi:10.1016/S1005-8885(14)60323-X

Acta Metallurgica Sinica(English letters) ›› 2014, Vol. 21 ›› Issue (5): 1-8.doi: 10.1016/S1005-8885(14)60323-X

• Wireless • 下一篇

Parametric channel modeling based OFDM channel estimation

卿浩博,刘元安,谢刚,刘凯明,刘芳

北京邮电大学

收稿日期:2014-01-13 修回日期:2014-05-09 出版日期:2014-10-31 发布日期:2014-10-30
通讯作者: 卿浩博 E-mail:qinghaobo@gmail.com
基金资助:
自然科学基金;自然科学基金;国家科技重大专项;中加国际科学与技术合作项目;国家重点基础研究发展计划（973计划）

Parametric channel modeling based OFDM channel estimation

Received:2014-01-13 Revised:2014-05-09 Online:2014-10-31 Published:2014-10-30
Supported by:
;National Science and Technology Major Project;973 Program

摘要/Abstract

摘要：

　A simplified parametric channel estimation approach was proposed for orthogonal frequency division multiplexing (OFDM) systems. Based on parametric channel model, this algorithm is composed of two parts: the estimation of channel parameters and channel interpolation. The exponentially embedded family (EEF) criterion is exploited to determine the number of channel paths as well as the multipath time delays. Consequently, the channel frequency responses is acquired via the estimated parameters. Additionally, the authors’ scheme is computationally efficient owing to the needless of the eigenvalue decomposition or the estimation of signal parameters by the rotational invariance technique (ESPRIT). Simulations are provided to validate the performance of this algorithm from perspectives of the probability of correct estimation and the mean square error (MSE). It is demonstrated that this approach exhibits a superior performance over the existing algorithms.

关键词:

channel estimation, OFDM, mean square error, EEF criterion

Abstract:

Key words:

channel estimation, OFDM, mean square error, EEF criterion

参考文献

1. Bingham J A C. Multicarrier modulation for data transmission: an idea whose time has come. IEEE Communications Magazine, 1990, 28(5): 5-14

2. Li Y G, Seshadri N, Ariyavisitakul S. Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels. IEEE Journal on Selected Areas in Communications, 1999, 17(3): 461-470

3. Tang T, Deng G, Jiang J. Estimation of time-varying channels for pilot-assisted OFDM systems. The Journal of China Universities of Posts and Telecommunications, 2007, 14(2): 94-98

4. Cai M, Zhang K F, Zou X C, et al. Computationally efficient channel estimation and inter-carrier interference suppression for OFDM communication systems. The Journal of China Universities of Posts and Telecommunications, 2009, 16(6):17-23

5. Liu S Y, Liu Y A, Wang F F, et al. Over-sampling basis expansion model aided channel estimation for OFDM systems with ICI. The Journal of China Universities of Posts and Telecommunications, 2008, 15(4):7-13

6. Yang B G, Letaief K B, Cheng R S, et al. Channel estimation for OFDM transmission in multipath fading channels based on parametric channel modeling. IEEE Transactions on Communications, 2001, 49(3): 467-478

7. Raghavendra M R, Bhashyam S, Giridhar K. Exploiting hopping pilots for parametric channel estimation in OFDM systems. IEEE Signal Processing Letters, 2005, 12(11): 737-740

8. Raghavendra M R, Giridhar K. Improving channel estimation in OFDM systems for sparse multipath channels. IEEE Signal Processing Letters, 2005, 12(1): 52-55

9. Liu S Y, Wang F F, Zhang R R, et al. A simplified parametric channel estimation scheme for OFDM systems. IEEE Transactions on Wireless Communications, 2008, 7(12): 5082-5090

10. Kang I, Fitz M P, Gelfand S B. Blind estimation of multipath channel parameters: a modal analysis approach. IEEE Transactions on Communications, 1999, 47(8): 1140-1150

11. Kay S. Exponentially embedded families-new approaches to model order estimation. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(1): 333-344

12. Xu C, Kay S. Source enumeration via the EEF criterion. IEEE Signal Processing Letters, 2008, 15: 569-572

13. Wax M, Kailath T. Detection of signals by information theoretic criteria. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985, 33(2): 387-392

14. Qing H B, Liu Y A, Xie G. Robust spectrum sensing for blind multiband detection in cognitive radio systems: a Gerschgorin likelihood approach. KSII Transactions on Internet and Information Systems, 2013, 7(5): 1131-1145

15. Qing H B, Liu Y A, Xie G, et al. Blind multiband spectrum sensing for cognitive radio systems with smart antennas. IET Communications, 2014, 8(6): 914-920

16. Qing H B, Liu Y A, Xie G. Smart antennas aided wideband detection for spectrum sensing in cognitive radio networks. Electronics Letters, 2014, 50(7): 490-492

Patzold M. Mobile fading channels. Chichester, UK: John Wiley & Sons, 2002

Parametric channel modeling based OFDM channel estimation

Parametric channel modeling based OFDM channel estimation

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价