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
  • [21] An embedded pilot power based channel estimation and low-complexity feedback equalization scheme for OTFS system
    Mallaiah, Renikunta
    Vejandla, Kishore
    Mani, V. V.
    Kumar, Abhinav
    Sellathurai, Mathini
    PHYSICAL COMMUNICATION, 2022, 55
  • [22] Maximum Likelihood Channel Path Detection and MMSE Channel Estimation in OTFS Systems
    Singh, Vibhutesh Kumar
    Flanagan, Mark F.
    Cardiff, Barry
    2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL), 2020,
  • [23] Channel Estimation and Turbo Equalization for Coded OTFS and OFDM: A Comparison
    Huang, Xiang
    Farhang, Arman
    Chen, Rong-Rong
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2023, 12 (09) : 1613 - 1617
  • [24] Low PAPR Channel Estimation for OTFS with Scattered Superimposed Pilots
    Wei Liu
    Liyi Zou
    Baoming Bai
    Teng Sun
    China Communications, 2023, 20 (01) : 79 - 87
  • [25] Time-Frequency Domain Channel Estimation for OTFS Systems
    Sheng, Huan-Tang
    Wu, Wen-Rong
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (02) : 937 - 948
  • [26] A Transformer-Based Channel Estimation Method for OTFS Systems
    Sun, Teng
    Lv, Jiebiao
    Zhou, Tao
    ENTROPY, 2023, 25 (10)
  • [27] Joint Detection and Channel Estimation for MIMO-OTFS Systems
    Shi, Ce
    Zhao, Lei
    Cui, Yanpeng
    Chu, Yueyan
    Guo, Wenbin
    Wang, Wenbo
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (08) : 11568 - 11579
  • [28] Efficient Channel Estimation for OTFS Systems in the Presence of Fractional Doppler
    Li, Zhongjie
    Yuan, Weijie
    You, Changsheng
    Cui, Yuanhao
    2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023,
  • [29] ITERATIVE CHANNEL ESTIMATION AND DATA DETECTION ALGORITHM FOR OTFS MODULATION
    Ouchikh, Rabah
    Aissa-El-Bey, Abdeldjalil
    Chonavel, Thierry
    Djeddou, Mustapha
    2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 5263 - 5267
  • [30] Performance Analysis and Window Design for Channel Estimation of OTFS Modulation
    Wei, Zhiqiang
    Yuan, Weijie
    Li, Shuangyang
    Yuan, Jinhong
    Ng, Derrick Wing Kwan
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,