|Table of Contents|

[1] Zhang Yenan, Xu Feiyun, Jia Minping,. A modified time domain interpolation methodfor LS channel estimation in OFDM systems [J]. Journal of Southeast University (English Edition), 2022, 38 (3): 219-226. [doi:10.3969/j.issn.1003-7985.2022.03.002]
Copy

A modified time domain interpolation methodfor LS channel estimation in OFDM systems()
OFDM通信系统LS信道估计的改进时域插值法
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
38
Issue:
2022 3
Page:
219-226
Research Field:
Information and Communication Engineering
Publishing date:
2022-09-20

Info

Title:
A modified time domain interpolation methodfor LS channel estimation in OFDM systems
OFDM通信系统LS信道估计的改进时域插值法
Author(s):
Zhang Yenan Xu Feiyun Jia Minping
School of Mechanical Engineering, Southeast University, Nanjing 211189, China
张烨楠 许飞云 贾民平
东南大学机械工程学院, 南京 211189
Keywords:
orthogonal frequency division multiplexing(OFDM) channel estimation linear interpolation time domain interpolation
正交频分复用(OFDM) 信道估计 线性插值 时域插值
PACS:
TN929.5
DOI:
10.3969/j.issn.1003-7985.2022.03.002
Abstract:
A modified time domain interpolation method is proposed for orthogonal frequency division multiplexing(OFDM)systems to address the problem that time domain interpolation in the least square(LS)channel estimation method based on comb-type pilots cannot choose the pilot spacing flexibly. Firstly, the estimated channel frequency response(CFR)at pilot positions in the frequency domain is obtained by LS channel estimation based on comb-type pilots, and the estimated channel impulse response(CIR)in the time domain is obtained by linear interpolation and inverse fast Fourier transform(IFFT). Secondly, the error of the estimated CIR obtained by linear interpolation is analyzed by theoretical deduction, and a method for correcting it is proposed. Finally, an estimated CFR at all subcarrier positions in the frequency domain is obtained by performing zero padding in the time domain and fast Fourier transform(FFT)on the modified CIR. The simulation results suggest that the proposed method gives similar performance to time domain interpolation, yet it does not need to meet the condition of time domain interpolation that the number of subcarriers must be an integral multiple of pilot spacing to use it. The proposed method allows for flexible pilot spacing, reducing the number of pilots and the consumption of subcarriers used for channel estimation.
对于正交频分复用(OFDM)系统, 针对基于梳状导频的最小二乘信道估计算法中时域插值法无法灵活选择导频间隔的问题, 提出了一种改进的时域插值法.首先, 使用梳状导频和最小二乘法信道估计算法得到频域的导频处信道估计值, 通过线性插值和反快速傅里叶变换得到时域的信道冲击响应估计值;其次, 通过理论推导分析线性插值得到的信道冲击响应估计值的误差, 并提出对其进行修正的方法;最后, 通过对修正后的信道冲击响应进行时域补零和快速傅里叶变换, 得到频域所有子载波处的信道估计值.仿真结果表明, 所提方法与时域插值法性能相似, 且不必满足时域插值法子载波数为导频间隔整数倍的要求.所提方法能灵活选择导频间隔, 减少导频数目和信道估计对子载波资源的消耗.

References:

[1] Telagam N, Sahu P C, Panda S, et al. USRP based digital audio broadcasting using OFDM in virtual and remote laboratory[J].International Journal of Online and Biomedical Engineering(IJOE), 2019, 15(13): 77-85. DOI:10.3991/ijoe.v15i13.8761.
[2] Jiang R, Wang X, Cao S, et al. Deep neural networks for channel estimation in underwater acoustic OFDM systems [J]. IEEE Access, 2019, 7: 23579-23594. DOI: 10.1109/ACCESS.2019.2899990.
[3] Honfoga A-C, Nguyen T T, Dossou M, et al. Application of FBMC to DVB-T2: A comparison vs classical OFDM transmissions[C]//Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing(GlobalSIP). Ottawa, Canada, 2019: 1-5. DOI: 10.1109/GlobalSIP45357.2019.8969550.
[4] Pandya S, Wakchaure M A, Shankar R, et al. Analysis of NOMA-OFDM 5G wireless system using deep neural network[J].The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 2021: 154851292199910. DOI:10.1177/1548512921999108.
[5] Sure P, Bhuma C M. A survey on OFDM channel estimation techniques based on denoising strategies[J].Engineering Science and Technology, an International Journal, 2017, 20(2): 629-636. DOI:10.1016/j.jestch.2016.09.011.
[6] Sutar M B, Patil V S. LS and MMSE estimation with different fading channels for OFDM system[C]//Proceedings of the 2017 International Conference of Electronics, Communication and Aerospace Technology(ICECA). Coimbatore, India, 2017: 740-745. DOI: 10.1109/ICECA.2017.8203641.
[7] Coleri S, Ergen M, Puri A, et al. Channel estimation techniques based on pilot arrangement in OFDM systems[J].IEEE Transactions on Broadcasting, 2002, 48(3): 223-229. DOI:10.1109/TBC.2002.804034.
[8] Jia L, Cao D Z, Hou C P. Two novel transform domain estimation methods for OFDM system and their application environment[C]//Canadian Conference on Electrical and Computer Engineering 2004. Niagara Falls, ON, Canada, 2004: 377-380. DOI:10.1109/CCECE.2004.1345034.
[9] Rocha C A, Mendes L L, Da Silveira A C. Performance analysis of channel estimation schemes for OFDM systems[C]//Proceedings of International Workshop on TelecommunicationsIWT-2007. Santa Rita do Sapucaí, Brasil, 2007: 32-36.
[10] Li D, Guo F, Li G S, et al. Enhanced DFT interpolation-based channel estimation for OFDM systems with virtual subcarriers[C]//2006 IEEE 63rd Vehicular Technology Conference. Melbourne, Vic, Australia, 2006: 1580-1584. DOI:10.1109/VETECS.2006.1683112.
[11] Zheng K, Su J, Wang W B. DFT-based channel estimation in comb-type pilot-aided OFDM systems with virtual carriers[C]//2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications. Athens, Greece, 2007: 1-5. DOI:10.1109/PIMRC.2007.4394389.
[12] Zhang L, Hong Z H, Thibault L. Improved DFT-based channel estimation for OFDM systems with null subcarriers[C]//2009 IEEE 70th Vehicular Technology Conference Fall. Anchorage, AK, USA, 2009: 1-5. DOI:10.1109/VETECF.2009.5378722.
[13] Jawhar Y A, Audah L, Taher M A, et al. A review of partial transmit sequence for PAPR reduction in the OFDM systems[J]. IEEE Access, 2019, 7: 18021-18041. DOI:10.1109/ACCESS.2019.2894527.
[14] Edfors O, Sandell M, van de Beek J-J, et al. Analysis of DFT-based channel estimators for OFDM [J]. Wireless Personal Communications, 2000, 12(1): 55-70. DOI: 10.1109/26.966074.
[15] Kang Y, Kim K, Park H. Efficient DFT-based channel estimation for OFDM systems on multipath channels[J].IET Communications, 2007, 1(2): 197-202. DOI:10.1049/iet-com: 20050337.
[16] Minn H, Bhargava V K. An investigation into time-domain approach for OFDM channel estimation[J].IEEE Transactions on Broadcasting, 2000, 46(4): 240-248. DOI:10.1109/11.898744.
[17] Murad M, Tasadduq I A, Otero P. Towards multicarrier waveforms beyond OFDM: Performance analysis of GFDM modulation for underwater acoustic channels[J].IEEE Access, 2020, 8: 222782-222799. DOI:10.1109/ACCESS.2020.3043718.
[18] Luo J F, Xie Z J, Xie M. Interpolated DFT algorithms with zero padding for classic windows[J].Mechanical Systems and Signal Processing, 2016, 70/71: 1011-1025. DOI:10.1016/j.ymssp.2015.09.045.
[19] Simeone O, Spagnolini U. Adaptive pilot pattern for OFDM systems[C]//2004 IEEE International Conference on Communications. Paris, France, 2004: 978-982. DOI:10.1109/ICC.2004.1312647.
[20] Jiang R K, Wang X T, Cao S, et al. Joint compressed sensing and enhanced whale optimization algorithm for pilot allocation in underwater acoustic OFDM systems[J].IEEE Access, 2019, 7: 95779-95796. DOI:10.1109/ACCESS.2019.2929305.
[21] Qiao G, Babar Z, Ma L, et al. MIMO-OFDM underwater acoustic communication systems—A review[J].Physical Communication, 2017, 23: 56-64. DOI:10.1016/j.phycom.2017.02.007.
[22] Barnett A H, Magland J, af Klinteberg L. A parallel nonuniform fast Fourier transform library based on an “exponential of semicircle"kernel[J].SIAM Journal on Scientific Computing, 2019, 41(5): C479-C504. DOI:10.1137/18m120885x.
[23] Zhao Y P, Huang A P. A novel channel estimation method for OFDM mobile communication systems based on pilot signals and transform-domain processing[C]//1997 IEEE 47th Vehicular Technology Conference on Technology in Motion. Phoenix, AZ, USA, 1997: 2089-2093. DOI:10.1109/VETEC.1997.605966.
[24] Fan T L, Wen Y C, Huang S B, et al. An improved DFT-based channel estimation algorithm for OFDM system in non-sample-spaced multipath channels[J].Circuits, Systems, and Signal Processing, 2014, 33(4): 1277-1288. DOI:10.1007/s00034-013-9678-0.

Memo

Memo:
Biographies: Zhang Yenan(1998—), male, graduate; Jia Minping(corresponding author), male, doctor, professor, mpjia@ seu. edu. cn.
Foundation item: The National Natural Science Foundation of China(No. 51975117).
Citation: Zhang Yenan, Xu Feiyun, Jia Minping.A modified time domain interpolation method for LS channel estimation in OFDM systems[J].Journal of Southeast University(English Edition), 2022, 38(3):219-226.DOI:10.3969/j.issn.1003-7985.2022.03.002.
Last Update: 2022-09-20