Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164291
Title: Near-optimal BEM OTFS receiver with low pilot overhead for high-mobility communications
Authors: Liu, Yujie
Guan, Yong Liang
Gonzalez, David G.
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Liu, Y., Guan, Y. L. & Gonzalez, D. G. (2022). Near-optimal BEM OTFS receiver with low pilot overhead for high-mobility communications. IEEE Transactions On Communications, 70(5), 3392-3406. https://dx.doi.org/10.1109/TCOMM.2022.3162257
Journal: IEEE Transactions on Communications
Abstract: In this paper, a new receiver design based on basis expansion model (BEM) orthogonal time frequency space (OTFS) is presented for high-mobility communications with Doppler-spread channel. By deriving an analytical BEM OTFS system model, a low-order generalized complex exponential BEM (GCE-BEM) aided rough channel estimation is proposed at the initial stage with low pilot overhead, followed by equalization. Then, the refinement of channel estimation and equalization is conducted iteratively, in which a high-resolution GCE-BEM model with a large BEM order is adopted and the detected data symbols are exploited as pseudo-pilots, leading to higher estimation accuracy. Simulation results show that the proposed BEM OTFS receiver significantly outperforms the existing OTFS receivers in terms of the mean square error (MSE) of channel estimation and bit error rate (BER), while featuring low pilot overhead. Results also show the near-optimal performance of the novel solution, i.e., achieved BER is very close to the case of perfect channel estimation. The theoretical lower bound on MSE of channel estimation is derived to verify the effectiveness of the proposed BEM OTFS receiver, which is shown to be close to simulation results.
URI: https://hdl.handle.net/10356/164291
ISSN: 0090-6778
DOI: 10.1109/TCOMM.2022.3162257
Schools: School of Electrical and Electronic Engineering 
Research Centres: Continental-NTU Corporate Laboratory
Rights: © 2022 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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