Study on OTFS Fractional Doppler Channel Estimation and Windowing in High-Speed Mobile Communication Systems

JIANG Zhanjun; LIU Qingda; ZHANG Hong; LIU Huan

doi:10.11999/JEIT210561

Volume 44 Issue 2

Feb. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(2): 646-653

JIANG Zhanjun, LIU Qingda, ZHANG Hong, LIU Huan. Study on OTFS Fractional Doppler Channel Estimation and Windowing in High-Speed Mobile Communication Systems[J]. Journal of Electronics & Information Technology, 2022, 44(2): 646-653. doi: 10.11999/JEIT210561

Citation:

JIANG Zhanjun, LIU Qingda, ZHANG Hong, LIU Huan. Study on OTFS Fractional Doppler Channel Estimation and Windowing in High-Speed Mobile Communication Systems[J]. Journal of Electronics & Information Technology, 2022, 44(2): 646-653. doi: 10.11999/JEIT210561

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Study on OTFS Fractional Doppler Channel Estimation and Windowing in High-Speed Mobile Communication Systems

doi: 10.11999/JEIT210561

School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Funds: The Foundation of Gansu Province Radio Monitoring and Positioning Innovation Team (2017C-09), The Funded by Lanzhou Jiaotong University “Hundred Young Talents Training Program” (150220232)

Received Date: 2021-06-10
Accepted Date: 2022-01-17
Rev Recd Date: 2022-01-13

Available Online: 2022-01-24

Publish Date: 2022-02-25

Abstract

Abstract

In the Orthogonal Time-Frequency Space (OTFS) modulation system, it is difficult to estimate the Channel State Information (CSI) of physical path corresponding to fractional Doppler channel, and the computation is very complicated. To solve these problems, a channel estimation algorithm PRS-PMF (Pilot Resource Saving-Pulse Matched Filtering) for pulse matching filter which saves pilot resources is proposed. In the algorithm, the embedded auxiliary pilot is employed to obtain the equivalent channel estimation, then the CSI of each path is estimated through the cross-correlation matched filter. Compared with the traditional cross-correlation matched filter channel estimation algorithms, it can reduce the pilot resource occupy and the computational complexity. On this basis, the OTFS system is windowed to reduce the number of integer samples of the main lobe of the window response and reduce the side lobe level, which improves effectively the autocorrelation characteristics of the equivalent channel Doppler response function and thus reduces the interference of other symbols and noise on the estimated symbols.
- Orthogonal Time-Frequency-Space (OTFS),
- Fractional Doppler channel,
- Channel estimation,
- Cross-correlation matched filtering,
- Window response

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References(14)

References

[1]	HADANI R, RAKIB S, TSATSANIS M, et al. Orthogonal time frequency space modulation[C]. 2017 IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, USA, 2017: 1–6.
[2]	解志斌, 薛同思, 田雨波, 等. 一种稀疏增强的压缩感知MIMO-OFDM信道估计算法[J]. 电子与信息学报, 2013, 35(3): 665–670. doi: 10.3724/SP.J.1146.2012.00860 XIE Zhibin, XUE Tongsi, TIAN Yubo, et al. A sparsity enhanced channel estimation algorithm based on compressed sensing in MIMO-OFDM systems[J]. Journal of Electronics &Information Technology, 2013, 35(3): 665–670. doi: 10.3724/SP.J.1146.2012.00860
[3]	SURABHI G D, AUGUSTINE R M, and CHOCKALINGAM A. On the diversity of uncoded OTFS modulation in doubly-dispersive channels[J]. IEEE Transactions on Wireless Communications, 2019, 18(6): 3049–3063. doi: 10.1109/TWC.2019.2909205
[4]	DAS S and SCHNITER P. Max-SINR ISI/ICI-shaping multicarrier communication over the doubly dispersive channel[J]. IEEE Transactions on Signal Processing, 2007, 55(12): 5782–5795. doi: 10.1109/TSP.2007.901660
[5]	SHEN Wenqian, DAI Linglong, AN Jianping, et al. Channel estimation for orthogonal time frequency space (OTFS) massive MIMO[J]. IEEE Transactions on Signal Processing, 2019, 67(16): 4204–4217. doi: 10.1109/TSP.2019.2919411
[6]	RAVITEJA P, PHAN K T, JIN Qianyu, et al. Low-complexity iterative detection for orthogonal time frequency space modulation[C]. 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, 2018: 1–6.
[7]	FISH A, GUREVICH S, HADANI R, et al. Delay-Doppler channel estimation in almost linear complexity[J]. IEEE Transactions on Information Theory, 2013, 59(11): 7632–7644. doi: 10.1109/TIT.2013.2273931
[8]	RAVITEJA P, PHAN K T, and HONG Yi. Embedded pilot-aided channel estimation for OTFS in delay-Doppler channels[J]. IEEE Transactions on Vehicular Technology, 2019, 68(5): 4906–4917. doi: 10.1109/TVT.2019.2906357
[9]	MURALI K R and CHOCKALINGAM A. On OTFS modulation for high-Doppler fading channels[C]. 2018 Information Theory and Applications Workshop (ITA), San Diego, USA, 2018: 1–10.
[10]	HASHIMOTO N, OSAWA N, YAMAZAKI K, et al. Channel estimation and equalization for CP-OFDM-based OTFS in fractional Doppler channels[C]. 2021 IEEE International Conference on Communications Workshops (ICC Workshops), Montreal, Canada, 2021: 1–7.
[11]	卢明飞, 彭思愿, 陈霸东. 最大互相关熵多凸组合自适应滤波算法[J]. 电子与信息学报, 2021, 43(2): 263–269. doi: 10.11999/JEIT200288 LU Mingfei, PENG Siyuan, and CHEN Badong. Convex combination of multiple adaptive filters under the maximum correntropy criterion[J]. Journal of Electronics &Information Technology, 2021, 43(2): 263–269. doi: 10.11999/JEIT200288
[12]	WEI Zhiqiang, YANG Weijie, LI Shuangyang, et al. Transmitter and receiver window designs for orthogonal time-frequency space modulation[J]. IEEE Transactions on Communications, 2021, 69(4): 2207–2223. doi: 10.1109/TCOMM.2021.3051386
[13]	WEI Zhiqiang, NG D W K, and YUAN Jinhong. NOMA for hybrid mmWave communication systems with beamwidth control[J]. IEEE Journal of Selected Topics in Signal Processing, 2019, 13(3): 567–583. doi: 10.1109/JSTSP.2019.2901593
[14]	惠永涛, 李兵兵, 同钊, 等. 时频双选信道OFDM系统的低复杂度MMSE-SD算法[J]. 电子与信息学报, 2013, 35(2): 261–266. doi: 10.3724/SP.J.1146.2012.00805 HUI Yongtao, LI Bingbing, TONG Zhao, et al. Low-complexity MMSE-SD algorithm for OFDM systems over doubly-selective channels[J]. Journal of Electronics &Information Technology, 2013, 35(2): 261–266. doi: 10.3724/SP.J.1146.2012.00805