A Practical Pilot for Channel Estimation of OTFS

被引:0
|
作者
Sanoopkumar, P. S. [1 ]
Farhang, Arman [1 ]
机构
[1] Trinity Coll Dublin, Dept Elect & Elect Engn, Dublin, Ireland
基金
爱尔兰科学基金会;
关键词
AVERAGE POWER RATIO; MODULATION; RECEIVER;
D O I
10.1109/ICC45041.2023.10279828
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The widely used embedded impulse pilot for channel estimation of orthogonal time frequency space modulation (OTFS) has a prohibitively large peak to average power ratio (PAPR). Hence, in this paper, we propose a novel embedded pilot with cyclic prefix (PCP) that has a significantly reduced PAPR compared to the impulse pilot. This is achieved by spreading the pilot power along the delay dimension using a constant amplitude Zadoff-Chu (ZC) sequence with a cyclic prefix (CP). We analytically derive upper bound PAPR expressions for the impulse pilot and the proposed PCP. Together with our numerical results, these upper bounds attest the significant PAPR improvement that is achieved by PCP. We also develop a two-stage channel estimation technique with a superior performance to the threshold-based channel estimation for the impulse pilot. At the first stage, the channel is estimated by a linear estimator under the assumption of the channel being locally linear time invariant over each time-slot within the OTFS block. Taking advantage of the benefits that are offered by the CP in our proposed pilot structure, we develop a low complexity least squares based estimator for implementation of the first stage. At the second stage, we use the channel estimate from the first stage and the generalized complex exponential basis expansion model (GCE-BEM) to accurately estimate the full channel. Finally, we numerically analyse and show the superior estimation performance of our proposed channel estimator for PCP to the threshold-based estimator for the impulse pilot.
引用
收藏
页码:1319 / 1325
页数:7
相关论文
共 50 条
  • [1] Sparse Superimposed Pilot Based Channel Estimation in OTFS Systems
    Jesbin, Fathima
    Mattu, Sandesh Rao
    Chockalingam, A.
    2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023,
  • [2] OTFS for Underwater Acoustic Communications: Practical System Design and Channel Estimation
    Hang, Su
    Li, Wei
    2022 OCEANS HAMPTON ROADS, 2022,
  • [3] Signal Detection and Channel Estimation in OTFS
    Ashwitha NAIKOTI
    Ananthanarayanan CHOCKALINGAM
    ZTE Communications, 2021, 19 (04) : 16 - 33
  • [4] OTFS-IM channel estimation and data detection algorithm with a superimposed pilot pattern
    Ouchikh, Rabah
    Aissa-El-Bey, Abdeldjalil
    Chonavel, Thierry
    Djeddou, Mustapha
    2023 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP, SSP, 2023, : 586 - 590
  • [5] Embedded Pilot-Aided Channel Estimation for OTFS in Delay-Doppler Channels
    Raviteja, P.
    Phan, Khoa T.
    Hong, Yi
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (05) : 4906 - 4917
  • [6] Data-Aided Channel Estimation for OTFS Systems With a Superimposed Pilot and Data Transmission Scheme
    Yuan, Weijie
    Li, Shuangyang
    Wei, Zhiqiang
    Yuan, Jinhong
    Ng, Derrick Wing Kwan
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (09) : 1954 - 1958
  • [7] Sparse channel estimation algorithms for OTFS system
    Ouchikh, Rabah
    Aissa-El-Bey, Abdeldjalil
    Chonavel, Thierry
    Djeddou, Mustapha
    IET COMMUNICATIONS, 2022, 16 (18) : 2158 - 2170
  • [8] Delay-wise Superimposed Pilot based Compressed Sensing Channel Estimation for OTFS Systems
    Chen, Zhihao
    Zheng, Xinhua
    Chen, Xiang
    2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL, 2023,
  • [9] Leakage Suppression in Pulse-Shaped OTFS Delay-Doppler-Pilot Channel Estimation
    Pfadler, Andreas
    Szollmann, Tom
    Jung, Peter
    Stanczak, Slawomir
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (06) : 1181 - 1185
  • [10] Optimizing Channel Estimation Overhead for OTFS with Prior Channel Statistics
    Liu, Runnan
    Huang, Yihang
    He, Dazhi
    Xu, Yin
    Zhang, Wenjun
    2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2021,