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Low PAPR preamble-based channel estimation for OTFS systems on static multipath channels

In this paper we propose two preamble-based channel estimation methods for orthogonal time frequency space (OTFS) modulation. These new methods allow a robust channel estimation in noisy scenarios and static multipath channels. Moreover, the proposed preambles exhibit a strong resilience to nonlinea...

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Bibliographic Details
Published in:Digital signal processing 2023-05, Vol.136, p.103979, Article 103979
Main Authors: Baena-Lecuyer, Vicente, Oria Oria, Ana Cinta, Granado Romero, Joaquín
Format: Article
Language:English
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Summary:In this paper we propose two preamble-based channel estimation methods for orthogonal time frequency space (OTFS) modulation. These new methods allow a robust channel estimation in noisy scenarios and static multipath channels. Moreover, the proposed preambles exhibit a strong resilience to nonlinearities introduced by high power amplifiers (HPA). We demonstrate that our proposed methods outperform the existing techniques in the literature, allowing the HPA to work at a low input backoff (IBO). To the best of the authors' knowledge, this is the first paper that addresses a study of HPA linearity in OTFS systems. Finally, we show that the complexity of our channel estimators is low enough for an efficient hardware implementation.
ISSN:1051-2004
1095-4333
DOI:10.1016/j.dsp.2023.103979